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ORCIDAnand Rangarajan 0001
Person information
- affiliation: University of Florida, Gainesville, FL, USA
- affiliation (1991 - 2000): Yale University, New Haven, CT, USA
- affiliation (PhD 1990): University of Southern California, Los Angeles, CA, USA
Other persons with the same name
- Anand Rangarajan — disambiguation page
- Anand Rangarajan 0002 — Intel
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2020 – today
- 2024
[j61]Patrick Emami, Pan He, Sanjay Ranka, Anand Rangarajan
:
Toward Improving the Generation Quality of Autoregressive Slot VAEs. Neural Comput. 36(5): 858-896 (2024)- [j60]Aotian Wu, Pan He, Xiao Li, Ke Chen, Sanjay Ranka, Anand Rangarajan:
An Efficient Semi-Automated Scheme for Infrastructure LiDAR Annotation. IEEE Trans. Intell. Transp. Syst. 25(7): 8237-8247 (2024) - [c133]Jaemoon Lee, Anand Rangarajan, Sanjay Ranka:
Guaranteeing Error Bounds with Preservation of Derived Quantities in Compressive Autoencoders. DCC 2024: 566 - [c132]Xiao Li, Qian Gong, Jaemoon Lee, Scott Klasky, Anand Rangarajan, Sanjay Ranka:
Hybrid Approaches for Data Reduction of Spatiotemporal Scientific Applications. DCC 2024: 567 - [c131]Qian Gong, Zhe Wang, Viktor Reshniak, Xin Liang, Jieyang Chen, Qing Liu, Tushar M. Athawale, Yi Ju, Anand Rangarajan, Sanjay Ranka, Norbert Podhorszki, Rick Archibald, Scott Klasky:
A General Framework for Error-controlled Unstructured Scientific Data Compression. e-Science 2024: 1-10 - [c130]Aotian Wu, Yash Ranjan, Rahul Sengupta, Anand Rangarajan, Sanjay Ranka:
A Data-driven Approach for Probabilistic Traffic Prediction and Simulation at Signalized Intersections. IV 2024: 3092-3099 - [i36]Qian Gong, Chengzhu Zhang, Xin Liang, Viktor Reshniak, Jieyang Chen, Anand Rangarajan, Sanjay Ranka, Nicolas Vidal, Lipeng Wan, Paul Ullrich, Norbert Podhorszki, Robert Jacob, Scott Klasky:
Spatiotemporally adaptive compression for scientific dataset with feature preservation - a case study on simulation data with extreme climate events analysis. CoRR abs/2401.03317 (2024) - [i35]Qian Gong, Jieyang Chen, Ben Whitney, Xin Liang, Viktor Reshniak, Tania Banerjee, Jaemoon Lee, Anand Rangarajan, Lipeng Wan, Nicolas Vidal, Qing Liu, Ana Gainaru, Norbert Podhorszki, Richard Archibald, Sanjay Ranka, Scott Klasky:
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring. CoRR abs/2401.05994 (2024) - [i34]Nooshin Yousefzadeh, Rahul Sengupta, Yashaswi Karnati, Anand Rangarajan, Sanjay Ranka:
Graph Attention Network for Lane-Wise and Topology-Invariant Intersection Traffic Simulation. CoRR abs/2404.07446 (2024) - [i33]Jaemoon Lee, Ki Sung Jung, Qian Gong, Xiao Li, Scott Klasky, Jacqueline Chen, Anand Rangarajan, Sanjay Ranka:
Machine Learning Techniques for Data Reduction of CFD Applications. CoRR abs/2404.18063 (2024) - [i32]Xiao Li, Qian Gong, Jaemoon Lee, Scott Klasky, Anand Rangarajan, Sanjay Ranka:
Machine Learning Techniques for Data Reduction of Climate Applications. CoRR abs/2405.00879 (2024) - [i31]Nooshin Yousefzadeh, Rahul Sengupta, Yashaswi Karnati, Anand Rangarajan, Sanjay Ranka:
MTDT: A Multi-Task Deep Learning Digital Twin. CoRR abs/2405.00922 (2024) - [i30]Jacques P. Fleischer, Ryan Pallack, Ahan Mishra, Gustavo Riente de Andrade, Subhadipto Poddar, Emmanuel Posadas, Robert Schenck, Tania Banerjee, Anand Rangarajan, Sanjay Ranka:
Video-based Pedestrian and Vehicle Traffic Analysis During Football Games. CoRR abs/2408.02146 (2024) - [i29]Xiao Li, Jaemoon Lee, Anand Rangarajan, Sanjay Ranka:
Attention Based Machine Learning Methods for Data Reduction with Guaranteed Error Bounds. CoRR abs/2409.05357 (2024) - [i28]Xiao Li, Jaemoon Lee, Anand Rangarajan, Sanjay Ranka:
Foundation Model for Lossy Compression of Spatiotemporal Scientific Data. CoRR abs/2412.17184 (2024) - 2023
- [j59]Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan:
Learning Canonical Embeddings for Unsupervised Shape Correspondence With Locally Linear Transformations. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14872-14887 (2023) - [j58]Qian Gong, Jieyang Chen, Ben Whitney, Xin Liang, Viktor Reshniak, Tania Banerjee, Jaemoon Lee, Anand Rangarajan, Lipeng Wan, Nicolas Vidal, Qing Liu, Ana Gainaru, Norbert Podhorszki, Richard Archibald, Sanjay Ranka, Scott Klasky:
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring. SoftwareX 24: 101590 (2023) - [j57]Rahul Sengupta, Rohith R. K. Reddy, Parth Shah, James Dika, Xiaohui Huang, Anand Rangarajan, Sanjay Ranka:
Computing Arterial Travel Time Distributions From Loop Detector and Probe Datasets. IEEE Trans. Intell. Transp. Syst. 24(11): 11607-11622 (2023) - [c129]Jaemoon Lee, Anand Rangarajan, Sanjay Ranka:
Constrained Autoencoders: Incorporating equality constraints in learned scientific data compression. DCC 2023: 347 - [c128]Tania Banerjee, Jaemoon Lee, Jong Choi, Qian Gong, Jieyang Chen, Choong-Seock Chang, Scott Klasky, Anand Rangarajan, Sanjay Ranka:
Online and Scalable Data Compression Pipeline with Guarantees on Quantities of Interest. e-Science 2023: 1-10 - [c127]Qian Gong, Chengzhu Zhang, Xin Liang, Viktor Reshniak, Jieyang Chen, Anand Rangarajan, Sanjay Ranka, Nicolas Vidal, Lipeng Wan, Paul Ullrich, Norbert Podhorszki, Robert Jacob, Scott Klasky:
Spatiotemporally Adaptive Compression for Scientific Dataset with Feature Preservation - A Case Study on Simulation Data with Extreme Climate Events Analysis. e-Science 2023: 1-10 - [c126]Tania Banerjee, Jaemoon Lee, Jong Choi, Qian Gong, Jieyang Chen, Scott Klasky, Anand Rangarajan, Sanjay Ranka:
Fast Algorithms for Scientific Data Compression. HiPC 2023: 143-152 - [c125]Jaemoon Lee, Anand Rangarajan, Sanjay Ranka:
Nonlinear-by-Linear: Guaranteeing Error Bounds in Compressive Autoencoders. IC3 2023: 552-561 - [c124]Jaemoon Lee, Anand Rangarajan, Sanjay Ranka:
Nonlinear constraint satisfaction for compressive autoencoders using instance-specific linear operators. IC3 2023: 562-571 - [c123]Xiao Li, Pan He, Aotian Wu, Sanjay Ranka, Anand Rangarajan:
A Spatiotemporal Correspondence Approach to Unsupervised LiDAR Segmentation with Traffic Applications. ITSC 2023: 1014-1021 - [c122]Aotian Wu, Tania Banerjee, Ke Chen, Anand Rangarajan, Sanjay Ranka:
A Multi-Sensor Video/LiDAR System for Analyzing Intersection Safety. ITSC 2023: 1158-1165 - [c121]Rahul Sengupta, Tania Banerjee, Ke Chen, Yashaswi Karnati, Sanjay Ranka, Anand Rangarajan:
Towards Effective Traffic Signal Safety and Optimization Using Fisheye Video. VEHITS 2023: 54-63 - [c120]Rahul Sengupta, Tania Banerjee, Yashaswi Karnati, Sanjay Ranka, Anand Rangarajan:
Using DSRC Road-Side Unit Data to Derive Braking Behavior. VEHITS 2023: 420-427 - [i27]Aotian Wu, Pan He, Xiao Li, Ke Chen, Sanjay Ranka, Anand Rangarajan:
An Efficient Semi-Automated Scheme for Infrastructure LiDAR Annotation. CoRR abs/2301.10732 (2023) - [i26]Xiao Li, Pan He, Aotian Wu, Sanjay Ranka, Anand Rangarajan:
A Spatiotemporal Correspondence Approach to Unsupervised LiDAR Segmentation with Traffic Applications. CoRR abs/2308.12433 (2023) - 2022
- [j56]Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan:
Learning Scene Dynamics from Point Cloud Sequences. Int. J. Comput. Vis. 130(3): 669-695 (2022) - [j55]Abdullah Almutairi, Pan He, Anand Rangarajan, Sanjay Ranka:
Automated Truck Taxonomy Classification Using Deep Convolutional Neural Networks. Int. J. Intell. Transp. Syst. Res. 20(2): 483-494 (2022) - [j54]Xiaohui Huang, Pan He, Anand Rangarajan, Sanjay Ranka:
Machine-Learning-Based Real-Time Multi-Camera Vehicle Tracking and Travel-Time Estimation. J. Imaging 8(4): 101 (2022) - [j53]Yashaswi Karnati, Rahul Sengupta, Anand Rangarajan, Sanjay Ranka:
Subcycle Waveform Modeling of Traffic Intersections Using Recurrent Attention Networks. IEEE Trans. Intell. Transp. Syst. 23(3): 2538-2548 (2022) - [c119]Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan:
Self-Supervised Robust Scene Flow Estimation via the Alignment of Probability Density Functions. AAAI 2022: 861-869 - [c118]Tania Banerjee, Jong Choi, Jaemoon Lee, Qian Gong, Ruonan Wang, Scott Klasky, Anand Rangarajan, Sanjay Ranka:
An Algorithmic and Software Pipeline for Very Large Scale Scientific Data Compression with Error Guarantees. HIPC 2022: 226-235 - [c117]Tania Banerjee, Ke Chen, Alejandro Almaraz, Rahul Sengupta, Yashaswi Karnati, Bryce Grame, Emmanuel Posadas, Subhadipto Poddar, Robert Schenck, Jeremy Dilmore, Siva Srinivasan, Anand Rangarajan, Sanjay Ranka:
A Modern Intersection Data Analytics System for Pedestrian and Vehicular Safety. ITSC 2022: 3117-3124 - [c116]Qian Gong, Ben Whitney, Chengzhu Zhang, Xin Liang, Anand Rangarajan, Jieyang Chen, Lipeng Wan, Paul Ullrich, Qing Liu, Robert Jacob, Sanjay Ranka, Scott Klasky:
Region-adaptive, Error-controlled Scientific Data Compression using Multilevel Decomposition. SSDBM 2022: 5:1-5:12 - [i25]Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan:
Self-Supervised Robust Scene Flow Estimation via the Alignment of Probability Density Functions. CoRR abs/2203.12193 (2022) - [i24]Patrick Emami, Pan He, Sanjay Ranka, Anand Rangarajan:
Slot Order Matters for Compositional Scene Understanding. CoRR abs/2206.01370 (2022) - [i23]Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan:
Learning Canonical Embeddings for Unsupervised Shape Correspondence with Locally Linear Transformations. CoRR abs/2209.02152 (2022) - [i22]Anand Rangarajan, Pan He, Jaemoon Lee, Tania Banerjee, Sanjay Ranka:
Expressing linear equality constraints in feedforward neural networks. CoRR abs/2211.04395 (2022) - [i21]Tania Banerjee, Jong Choi, Jaemoon Lee, Qian Gong, Jieyang Chen, Scott Klasky, Anand Rangarajan, Sanjay Ranka:
Scalable Hybrid Learning Techniques for Scientific Data Compression. CoRR abs/2212.10733 (2022) - 2021
- [j52]Ke Chen, Tania Banerjee, Xiaohui Huang, Zhaowen Ding, Naga Venkata Sai Varanasi, Anand Rangarajan, Sanjay Ranka:
A web-based visual analytics system for traffic intersection datasets. Int. J. Big Data Intell. 8(1): 76-88 (2021) - [j51]George Worrall, Anand Rangarajan, Jasmeet Judge:
Domain-Guided Machine Learning for Remotely Sensed In-Season Crop Growth Estimation. Remote. Sens. 13(22): 4605 (2021) - [j50]Pan He, Aotian Wu, Xiaohui Huang, Jerry Scott, Anand Rangarajan, Sanjay Ranka:
Truck and Trailer Classification With Deep Learning Based Geometric Features. IEEE Trans. Intell. Transp. Syst. 22(12): 7782-7791 (2021) - [c115]Hoda Shajari, Jaemoon Lee, Sanjay Ranka, Anand Rangarajan:
Hybrid Generative Models for Two-Dimensional Datasets. ICANN (2) 2021: 623-636 - [c114]Patrick Emami, Pan He, Sanjay Ranka, Anand Rangarajan:
Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object Representations. ICML 2021: 2970-2981 - [c113]Dhruv Mahajan, Yashaswi Karnati, Jeremy Dilmore, Anand Rangarajan, Sanjay Ranka:
An Automated Framework for Deriving Intersection Coordination Plans. ITSC 2021: 1322-1327 - [c112]Aotian Wu, Tania Banerjee, Anand Rangarajan, Sanjay Ranka:
Trajectory Prediction via Learning Motion Cluster Patterns in Curvilinear Coordinates. ITSC 2021: 2200-2207 - [c111]Rahul Sengupta, Yashaswi Karnati, Anand Rangarajan, Sanjay Ranka:
TQAM: Temporal Attention for Cycle-wise Queue Length Estimation using High-Resolution Loop Detector Data. ITSC 2021: 3313-3320 - [c110]Yashaswi Karnati, Rahul Sengupta, Anand Rangarajan, Sanjay Ranka:
Subcycle-based Neural Network Algorithms for Turning Movement Count Prediction. VEHITS 2021: 735-744 - [d1]Mitchell Solomon, Micah Billouin, Kevin Chow, Jad Zeineddine, Alex Almaraz, Anand Rangarajan, Anthony O. Smith, Adrian M. Peter:
Physically-Augmented Deep Learning (PADL): Integration of Physical Context for Improved Seismic Event Discrimination. Zenodo, 2021
- [i20]Hoda Shajari, Jaemoon Lee, Sanjay Ranka, Anand Rangarajan:
Hybrid Generative Models for Two-Dimensional Datasets. CoRR abs/2106.00203 (2021) - [i19]Patrick Emami, Pan He, Sanjay Ranka, Anand Rangarajan:
Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object Representations. CoRR abs/2106.03630 (2021) - [i18]George Worrall, Anand Rangarajan, Jasmeet Judge:
Domain-guided Machine Learning for Remotely Sensed In-Season Crop Growth Estimation. CoRR abs/2106.13323 (2021) - [i17]Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan:
Learning Scene Dynamics from Point Cloud Sequences. CoRR abs/2111.08755 (2021) - 2020
- [j49]Yuan Zhou, Anand Rangarajan, Paul D. Gader:
An Integrated Approach to Registration and Fusion of Hyperspectral and Multispectral Images. IEEE Trans. Geosci. Remote. Sens. 58(5): 3020-3033 (2020) - [j48]Mark Moyou, Anand Rangarajan, John Corring, Adrian M. Peter:
A Grassmannian Graph Approach to Affine Invariant Feature Matching. IEEE Trans. Image Process. 29: 3374-3387 (2020) - [j47]Xiaohui Huang, Pan He, Anand Rangarajan, Sanjay Ranka:
Intelligent Intersection: Two-stream Convolutional Networks for Real-time Near-accident Detection in Traffic Video. ACM Trans. Spatial Algorithms Syst. 6(2): 10:1-10:28 (2020) - [c109]Yashaswi Karnati, Dhruv Mahajan, Anand Rangarajan, Sanjay Ranka:
Machine Learning Algorithms for Traffic Interruption Detection. FMEC 2020: 231-236 - [c108]Keke Zhai, Pan He, Tania Banerjee, Anand Rangarajan, Sanjay Ranka:
SparsePipe: Parallel Deep Learning for 3D Point Clouds. HiPC 2020: 51-61 - [c107]Dhruv Mahajan, Yashaswi Karnati, Tania Banerjee, Varun Reddy Regalla, Rohith R. K. Reddy, Anand Rangarajan, Sanjay Ranka:
A Scalable Data Analytics and Visualization System for City-wide Traffic Signal Data-sets. ITSC 2020: 1-6 - [c106]Dhruv Mahajan, Yashaswi Karnati, Anand Rangarajan, Sanjay Ranka:
Unsupervised Summarization and Change Detection in High-Resolution Signalized Intersection Datasets. ITSC 2020: 1-6 - [c105]Rahul Sengupta, Rohith R. K. Reddy, Parth Shah, Anand Rangarajan, Sanjay Ranka:
A Platoon Matching Approach for the Estimation of Arterial Travel Time Distributions. ITSC 2020: 1-6 - [c104]Ke Chen, Tania Banerjee, Xiaohui Huang, Anand Rangarajan, Sanjay Ranka:
A Visual Analytics System for Processed Videos from Traffic Intersections. VEHITS 2020: 68-77 - [c103]Tania Banerjee, Xiaohui Huang, Ke Chen, Anand Rangarajan, Sanjay Ranka:
Clustering Object Trajectories for Intersection Traffic Analysis. VEHITS 2020: 98-105 - [c102]Yashaswi Karnati, Dhruv Mahajan, Anand Rangarajan, Sanjay Ranka:
Data Mining Algorithms for Traffic Interruption Detection. VEHITS 2020: 106-114 - [c101]Xiaohui Huang, Tania Banerjee, Ke Chen, Naga Venkata Sai Varanasi, Anand Rangarajan, Sanjay Ranka:
Machine Learning based Video Processing for Real-time Near-Miss Detection. VEHITS 2020: 169-179 - [c100]Dhruv Mahajan, Tania Banerjee, Yashaswi Karnati, Anand Rangarajan, Sanjay Ranka:
A Data Driven Approach to Derive Traffic Intersection Geography using High Resolution Controller Logs. VEHITS 2020: 203-210 - [c99]Pan He, Aotian Wu, Xiaohui Huang, Anand Rangarajan, Sanjay Ranka:
Video-based Machine Learning System for Commodity Classification. VEHITS 2020: 229-236 - [i16]Hoda Shajari, Anand Rangarajan:
A Unified Framework for Multiclass and Multilabel Support Vector Machines. CoRR abs/2003.11197 (2020) - [i15]Keke Zhai, Pan He, Tania Banerjee, Anand Rangarajan, Sanjay Ranka:
SparsePipe: Parallel Deep Learning for 3D Point Clouds. CoRR abs/2012.13846 (2020)
2010 – 2019
- 2019
- [c98]Tania Banerjee, Ke Chen, Xiaohui Huang, Anand Rangarajan, Sanjay Ranka:
A Multi-sensor System for Traffic Analysis at Smart Intersections. IC3 2019: 1-6 - [c97]Pan He, Aotian Wu, Xiaohui Huang, Jerry Scott, Anand Rangarajan, Sanjay Ranka:
Deep Learning based Geometric Features for Effective Truck Selection and Classification from Highway Videos. ITSC 2019: 824-830 - [c96]Dhruv Mahajan, Tania Banerjee, Anand Rangarajan, Nithin Agarwal, Jeremy Dilmore, Emmanuel Posadas, Sanjay Ranka:
Analyzing Traffic Signal Performance Measures to Automatically Classify Signalized Intersections. VEHITS 2019: 138-147 - [i14]Xiaohui Huang, Pan He, Anand Rangarajan, Sanjay Ranka:
Intelligent Intersection: Two-Stream Convolutional Networks for Real-time Near Accident Detection in Traffic Video. CoRR abs/1901.01138 (2019) - 2018
- [j46]Trevor Herntier, Koffi Eddy Ihou, Anthony O. Smith, Anand Rangarajan, Adrian M. Peter:
Spherical Minimum Description Length. Entropy 20(8): 575 (2018) - [j45]Xiaohui Huang, Chengliang Yang, Sanjay Ranka, Anand Rangarajan:
Supervoxel-based segmentation of 3D imagery with optical flow integration for spatiotemporal processing. IPSJ Trans. Comput. Vis. Appl. 10: 9 (2018) - [j44]Subit Chakrabarti, Jasmeet Judge, Tara Bongiovanni, Anand Rangarajan, Sanjay Ranka:
Spatial Scaling Using Temporal Correlations and Ensemble Learning to Obtain High-Resolution Soil Moisture. IEEE Trans. Geosci. Remote. Sens. 56(3): 1238-1250 (2018) - [j43]Yuan Zhou, Anand Rangarajan, Paul D. Gader:
A Gaussian Mixture Model Representation of Endmember Variability in Hyperspectral Unmixing. IEEE Trans. Image Process. 27(5): 2242-2256 (2018) - [j42]Birmingham H. Guan, Anand Rangarajan:
Image Stacks as Parametric Surfaces: Application to Image Registration. IEEE Trans. Image Process. 27(12): 5744-5758 (2018) - [c95]Chengliang Yang, Anand Rangarajan, Sanjay Ranka:
Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer's Disease Classification. AMIA 2018 - [c94]Yupeng Yan, Xiaohui Huang, Anand Rangarajan, Sanjay Ranka:
Densely Labeling Large-Scale Satellite Images with Generative Adversarial Networks. DASC/PiCom/DataCom/CyberSciTech 2018: 927-934 - [c93]Chengliang Yang, Anand Rangarajan, Sanjay Ranka:
Global Model Interpretation Via Recursive Partitioning. HPCC/SmartCity/DSS 2018: 1563-1570 - [c92]Yupeng Yan, Anand Rangarajan, Sanjay Ranka:
An Efficient Deep Representation Based Framework for Large-Scale Terrain Classification. ICPR 2018: 940-945 - [i13]Chengliang Yang, Anand Rangarajan, Sanjay Ranka:
Global Model Interpretation via Recursive Partitioning. CoRR abs/1802.04253 (2018) - [i12]Chengliang Yang, Anand Rangarajan, Sanjay Ranka:
Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer's Disease Classification. CoRR abs/1803.02544 (2018) - 2017
- [j41]Yupeng Yan, Manu Sethi, Anand Rangarajan, Ranga Raju Vatsavai, Sanjay Ranka:
Graph-based semi-supervised classification on very high resolution remote sensing images. Int. J. Big Data Intell. 4(2): 108-122 (2017) - [j40]Subit Chakrabarti, Jasmeet Judge, Anand Rangarajan, Sanjay Ranka:
Utilizing Self-Regularized Regressive Models to Downscale Microwave Brightness Temperatures for Agricultural Land Covers in the SMAPVEX-12 Region. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(2): 478-488 (2017) - [c91]Yuan Zhou, Anand Rangarajan, Paul D. Gader:
Nonrigid Registration of Hyperspectral and Color Images with Vastly Different Spatial and Spectral Resolutions for Spectral Unmixing and Pansharpening. CVPR Workshops 2017: 1571-1579 - [c90]Yupeng Yan, Manu Sethi, Anand Rangarajan, Sanjay Ranka:
Super-Scalable Computation Framework for Automated Terrain Identification. DASC/PiCom/DataCom/CyberSciTech 2017: 1127-1134 - [c89]Subit Chakrabarti, Pang-Wei Liu, Jasmeet Judge, Anand Rangarajan, Roger D. De Roo, Rajat Bindlish, Andreas Colliander, Sidharth Misra, Scott Tripp, Barron Latham, Ross Williamson, Isaac Ramos, Thomas J. Jackson, Anthony W. England, Sanjay Ranka, Simon Yueh:
A spatio-temporal data fusion algorithm for estimating high-resolution soil moisture in agricultural regions. IGARSS 2017: 2495-2498 - [i11]Yuan Zhou, Anand Rangarajan, Paul D. Gader:
A Gaussian mixture model representation of endmember variability in hyperspectral unmixing. CoRR abs/1710.00075 (2017) - 2016
- [j39]Sibel Tari, Luminita A. Vese, Anand Rangarajan:
Guest Editorial: Shape Analysis Beyond the Eikonal Equation. J. Math. Imaging Vis. 55(2): 151-152 (2016) - [j38]Subit Chakrabarti, Jasmeet Judge, Tara Bongiovanni, Anand Rangarajan, Sanjay Ranka:
Disaggregation of Remotely Sensed Soil Moisture in Heterogeneous Landscapes Using Holistic Structure-Based Models. IEEE Trans. Geosci. Remote. Sens. 54(8): 4629-4641 (2016) - [j37]Yuan Zhou, Anand Rangarajan, Paul D. Gader:
A Spatial Compositional Model for Linear Unmixing and Endmember Uncertainty Estimation. IEEE Trans. Image Process. 25(12): 5987-6002 (2016) - [c88]Chengliang Yang, Manu Sethi, Anand Rangarajan, Sanjay Ranka:
Supervoxel-Based Segmentation of 3D Volumetric Images. ACCV (1) 2016: 37-53 - [c87]John Corring, Anand Rangarajan:
Resonant Deformable Matching: Simultaneous Registration and Reconstruction. ECCV (6) 2016: 51-68 - [c86]Birmingham H. Guan, John Corring, Manu Sethi, Sanjay Ranka, Anand Rangarajan:
Image stack surface area minimization for groupwise and multimodal affine registration. ICPR 2016: 4196-4201 - [c85]Yan Deng, Anand Rangarajan, Baba C. Vemuri:
Supervised learning for brain MR segmentation via fusion of partially labeled multiple atlases. ISBI 2016: 633-637 - [c84]Yuan Zhou, Anand Rangarajan, Paul D. Gader:
A Gaussian mixture model representation of endmember variability for spectral unmixing. WHISPERS 2016: 1-5 - [i10]Subit Chakrabarti, Tara Bongiovanni, Jasmeet Judge, Anand Rangarajan, Sanjay Ranka:
Disaggregation of SMAP L3 Brightness Temperatures to 9km using Kernel Machines. CoRR abs/1601.05350 (2016) - [i9]Subit Chakrabarti, Jasmeet Judge, Tara Bongiovanni, Anand Rangarajan, Sanjay Ranka:
Spatial Scaling of Satellite Soil Moisture using Temporal Correlations and Ensemble Learning. CoRR abs/1601.05767 (2016) - [i8]Mark Moyou, John Corring, Adrian M. Peter, Anand Rangarajan:
A Grassmannian Graph Approach to Affine Invariant Feature Matching. CoRR abs/1601.07648 (2016) - [i7]Kushal Arora, Anand Rangarajan:
A Compositional Approach to Language Modeling. CoRR abs/1604.00100 (2016) - [i6]Anthony O. Smith, Anand Rangarajan:
A Category Space Approach to Supervised Dimensionality Reduction. CoRR abs/1610.08838 (2016) - 2015
- [j36]Rob Heylen, Paul Scheunders, Anand Rangarajan, Paul D. Gader:
Nonlinear Unmixing by Using Different Metrics in a Linear Unmixing Chain. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 2655-2664 (2015) - [c83]Ayan Biswas, David S. Thompson, Wenbin He, Qi Deng, Chun-Ming Chen, Han-Wei Shen, Raghu Machiraju, Anand Rangarajan:
An uncertainty-driven approach to vortex analysis using oracle consensus and spatial proximity. PacificVis 2015: 223-230 - [c82]Subit Chakrabarti, Jasmeet Judge, Anand Rangarajan, Sanjay Ranka:
Downscaling microwave brightness temperatures using self regularized regressive models. IGARSS 2015: 2580-2583 - [c81]Manu Sethi, Yupeng Yan, Anand Rangarajan, Ranga Raju Vatsavai, Sanjay Ranka:
Scalable Machine Learning Approaches for Neighborhood Classification Using Very High Resolution Remote Sensing Imagery. KDD 2015: 2069-2078 - [c80]Rana Haber, Anand Rangarajan, Adrian M. Peter:
Discriminative Interpolation for Classification of Functional Data. ECML/PKDD (1) 2015: 20-36 - [c79]Yuan Zhou, Anand Rangarajan, Paul D. Gader:
A spatial compositional model for linear unmixing. WHISPERS 2015: 1-4 - [i5]Subit Chakrabarti, Jasmeet Judge, Anand Rangarajan, Sanjay Ranka:
Disaggregation of Remotely Sensed Soil Moisture in Heterogeneous Landscapes using Holistic Structure based Models. CoRR abs/1501.07680 (2015) - [i4]Subit Chakrabarti, Jasmeet Judge, Anand Rangarajan, Sanjay Ranka:
Downscaling Microwave Brightness Temperatures Using Self Regularized Regressive Models. CoRR abs/1501.07683 (2015) - [i3]Yuan Zhou, Anand Rangarajan, Paul D. Gader:
A spatial compositional model (SCM) for linear unmixing and endmember uncertainty estimation. CoRR abs/1509.09243 (2015) - 2014
- [j35]L. Zhang, Qi Deng, Raghu Machiraju, Anand Rangarajan, David S. Thompson, D. Keith Walters, Han-Wei Shen:
Boosting Techniques for Physics-Based Vortex Detection. Comput. Graph. Forum 33(1): 282-293 (2014) - [j34]Anand Rangarajan:
Revisioning the unification of syntax, semantics and statistics in shape analysis. Pattern Recognit. Lett. 43: 39-46 (2014) - [c78]Pegah Massoudifar, Anand Rangarajan, Paul D. Gader:
Superpixel Estimation for Hyperspectral Imagery. CVPR Workshops 2014: 287-292 - [c77]Yan Deng, Anand Rangarajan, Stephan J. Eisenschenk, Baba C. Vemuri:
A Riemannian Framework for Matching Point Clouds Represented by the Schrödinger Distance Transform. CVPR 2014: 3756-3761 - [c76]Manu Sethi, Yupeng Yan, Anand Rangarajan, Ranga Raju Vatsavaiy, Sanjay Ranka:
An efficient computational framework for labeling large scale spatiotemporal remote sensing datasets. IC3 2014: 635-640 - [c75]John Corring, Anand Rangarajan:
Shape from Phase: An Integrated Level Set and Probability Density Shape Representation. ICPR 2014: 46-51 - [c74]Karthik S. Gurumoorthy, Anand Rangarajan:
A Schrödinger formalism for simultaneously computing the Euclidean distance transform and its gradient density. ICVGIP 2014: 3:1-3:8 - [c73]Adrian M. Peter, Karthik S. Gurumoorthy, Mark Moyou, Anand Rangarajan:
A new energy minimization framework and sparse linear system for path planning and shape from shading. ICVGIP 2014: 15:1-15:8 - [c72]Rob Heylen, Paul Scheunders, Anand Rangarajan, Paul D. Gader:
Nonlinear unmixing by using non-euclidean metrics in a linear unmixing chain. WHISPERS 2014: 1-4 - [c71]Pegah Massoudifar, Anand Rangarajan, Alina Zare, Paul D. Gader:
An integrated graph cuts segmentation and piece-wise convex unmixing approach for hyperspectral imaging. WHISPERS 2014: 1-4 - [i2]Karthik S. Gurumoorthy, Anand Rangarajan:
A fast eikonal equation solver using the Schrödinger wave equation. CoRR abs/1403.1937 (2014) - 2013
- [j33]Ajit Rajwade, Anand Rangarajan, Arunava Banerjee:
Image Denoising Using the Higher Order Singular Value Decomposition. IEEE Trans. Pattern Anal. Mach. Intell. 35(4): 849-862 (2013) - 2012
- [j32]Ting Chen, Anand Rangarajan, Stephan J. Eisenschenk, Baba C. Vemuri:
Construction of a neuroanatomical shape complex atlas from 3D MRI brain structures. NeuroImage 60(3): 1778-1787 (2012) - [j31]Karthik S. Gurumoorthy, Anand Rangarajan:
Distance Transform Gradient Density Estimation Using the Stationary Phase Approximation. SIAM J. Math. Anal. 44(6): 4250-4273 (2012) - [c70]Manu Sethi, Anand Rangarajan, Karthik S. Gurumoorthy:
The Schrödinger distance transform (SDT) for point-sets and curves. CVPR 2012: 198-205 - [c69]Kittipat Kampa, José C. Príncipe, Duangmanee Putthividhya, Anand Rangarajan:
Data-driven tree-structured Bayesian network for image segmentation. ICASSP 2012: 2213-2216 - 2011
- [j30]Sangeetha Somayajula, Christos Panagiotou, Anand Rangarajan, Quanzheng Li, Simon R. Arridge, Richard M. Leahy:
PET Image Reconstruction Using Information Theoretic Anatomical Priors. IEEE Trans. Medical Imaging 30(3): 537-549 (2011) - [c68]Ajit Rajwade, Anand Rangarajan, Arunava Banerjee:
Using the Higher Order Singular Value Decomposition for Video Denoising. EMMCVPR 2011: 344-354 - [c67]Karthik S. Gurumoorthy, Anand Rangarajan, Arunava Banerjee:
The Complex Wave Representation of Distance Transforms. EMMCVPR 2011: 413-427 - [c66]Adrian M. Peter, Anand Rangarajan:
An information geometry approach to shape density Minimum Description Length model selection. ICCV Workshops 2011: 1432-1439 - [c65]Ting Chen, Baba C. Vemuri, Anand Rangarajan, Stephan J. Eisenschenk:
Mixture of Segmenters with Discriminative Spatial Regularization and Sparse Weight Selection. MICCAI (3) 2011: 595-602 - [i1]Karthik S. Gurumoorthy, Anand Rangarajan, Manu Sethi:
Fast convolution-based methods for computing the signed distance function and its derivatives. CoRR abs/1112.3010 (2011) - 2010
- [j29]Ting Chen, Baba C. Vemuri, Anand Rangarajan, Stephan J. Eisenschenk:
Group-Wise Point-Set Registration Using a Novel CDF-Based Havrda-Charvát Divergence. Int. J. Comput. Vis. 86(1): 111-124 (2010) - [j28]Karthik S. Gurumoorthy, Ajit Rajwade, Arunava Banerjee, Anand Rangarajan:
A Method for Compact Image Representation Using Sparse Matrix and Tensor Projections Onto Exemplar Orthonormal Bases. IEEE Trans. Image Process. 19(2): 322-334 (2010) - [c64]Ajit Rajwade, Anand Rangarajan, Arunava Banerjee:
Automated Filter Parameter Selection Using Measures of Noiseness. CRV 2010: 86-93 - [c63]Ting Chen, Anand Rangarajan, Baba C. Vemuri:
CAVIAR: classification via aggregated regression and its application in classifying oasis brain database. ISBI 2010: 1337-1340 - [c62]Ting Chen, Anand Rangarajan, Stephan J. Eisenschenk, Baba C. Vemuri:
Construction of Neuroanatomical Shape Complex Atlas from 3D Brain MRI. MICCAI (3) 2010: 65-72
2000 – 2009
- 2009
- [j27]Adrian M. Peter, Anand Rangarajan:
Information Geometry for Landmark Shape Analysis: Unifying Shape Representation and Deformation. IEEE Trans. Pattern Anal. Mach. Intell. 31(2): 337-350 (2009) - [j26]Ajit Rajwade, Arunava Banerjee, Anand Rangarajan:
Probability Density Estimation Using Isocontours and Isosurfaces: Applications to Information-Theoretic Image Registration. IEEE Trans. Pattern Anal. Mach. Intell. 31(3): 475-491 (2009) - [c61]Anand Rangarajan, Karthik S. Gurumoorthy:
A Schrödinger Wave Equation Approach to the Eikonal Equation: Application to Image Analysis. EMMCVPR 2009: 140-153 - [c60]Ajit Rajwade, Arunava Banerjee, Anand Rangarajan:
Image Filtering Driven by Level Curves. EMMCVPR 2009: 359-372 - [c59]Jeffrey Ho, Adrian M. Peter, Anand Rangarajan, Ming-Hsuan Yang:
An algebraic approach to affine registration of point sets. ICCV 2009: 1335-1340 - [c58]Fei Wang, Tanveer Fathima Syeda-Mahmood, Baba C. Vemuri, David Beymer, Anand Rangarajan:
Closed-Form Jensen-Renyi Divergence for Mixture of Gaussians and Applications to Group-Wise Shape Registration. MICCAI (1) 2009: 648-655 - [c57]Karthik S. Gurumoorthy, Anand Rangarajan:
A Schrödinger Equation for the Fast Computation of Approximate Euclidean Distance Functions. SSVM 2009: 100-111 - 2008
- [j25]Fei Wang, Baba C. Vemuri, Anand Rangarajan, Stephan J. Eisenschenk:
Simultaneous Nonrigid Registration of Multiple Point Sets and Atlas Construction. IEEE Trans. Pattern Anal. Mach. Intell. 30(11): 2011-2022 (2008) - [j24]Adrian M. Peter, Anand Rangarajan:
Maximum Likelihood Wavelet Density Estimation With Applications to Image and Shape Matching. IEEE Trans. Image Process. 17(4): 458-468 (2008) - [c56]Adrian M. Peter, Anand Rangarajan, Jeffrey Ho:
Shape L'Âne rouge: Sliding wavelets for indexing and retrieval. CVPR 2008 - [c55]Karthik S. Gurumoorthy, Ajit Rajwade, Arunava Banerjee, Anand Rangarajan:
Beyond SVD: Sparse projections onto exemplar orthonormal bases for compact image representation. ICPR 2008: 1-4 - 2007
- [j23]Santhosh Kodipaka, Baba C. Vemuri, Anand Rangarajan, Christiana Morison Leonard, I. Schmallfuss, Stephan J. Eisenschenk:
Kernel Fisher discriminant for shape-based classification in epilepsy. Medical Image Anal. 11(1): 79-90 (2007) - [c54]Sangeetha Somayajula, Anand Rangarajan, Richard M. Leahy:
Pet Image Reconstruction Using Anatomical Information Through Mutual Information Based Priors: A Scale Space Approach. ISBI 2007: 165-168 - [c53]Arunabha S. Roy, Ajay Gopinath, Anand Rangarajan:
Deformable Density Matching for 3D Non-rigid Registration of Shapes. MICCAI (1) 2007: 942-949 - [c52]Jeffrey Ho, Ming-Hsuan Yang, Anand Rangarajan, Baba C. Vemuri:
A New Affine Registration Algorithm for Matching 2D Point Sets. WACV 2007: 25 - 2006
- [c51]Fei Wang, Baba C. Vemuri, Anand Rangarajan:
Groupwise point pattern registration using a novel CDF-based Jensen-Shannon Divergence. CVPR (1) 2006: 1283-1288 - [c50]Ajit Rajwade, Arunava Banerjee, Anand Rangarajan:
New Method of Probability Density Estimation with Application to Mutual Information Based Image Registration. CVPR (2) 2006: 1769-1776 - [c49]Fei Wang, Baba C. Vemuri, Anand Rangarajan, Ilona M. Schmalfuss, Stephan J. Eisenschenk:
Simultaneous Nonrigid Registration of Multiple Point Sets and Atlas Construction. ECCV (3) 2006: 551-563 - [c48]Ajit Rajwade, Arunava Banerjee, Anand Rangarajan:
Continuous image representations avoid the histogram binning problem in mutual information based image registration. ISBI 2006: 840-843 - [c47]Adrian M. Peter, Anand Rangarajan:
Shape analysis using the Fisher-Rao Riemannian metric: unifying shape representation and deformation. ISBI 2006: 1164-1167 - [c46]Adrian M. Peter, Anand Rangarajan:
A New Closed-Form Information Metric for Shape Analysis. MICCAI (1) 2006: 249-256 - [p1]H. Guo, Anand Rangarajan, Shantanu H. Joshi:
Diffeomorphic Point Matching. Handbook of Mathematical Models in Computer Vision 2006: 205-219 - 2005
- [c45]Jie Zhang, Anand Rangarajan:
Multimodality Image Registration Using an Extensible Information Metric and High Dimensional Histogramming. IPMI 2005: 725-737 - [c44]Hongyu Guo, Anand Rangarajan, Sarang C. Joshi:
3-D Diffeomorphic Shape Registration on Hippocampal Data Sets. MICCAI (2) 2005: 984-991 - [e2]Anand Rangarajan, Baba C. Vemuri, Alan L. Yuille:
Energy Minimization Methods in Computer Vision and Pattern Recognition, 5th International Workshop, EMMCVPR 2005, St. Augustine, FL, USA, November 9-11, 2005, Proceedings. Lecture Notes in Computer Science 3757, Springer 2005, ISBN 3-540-30287-5 [contents] - 2004
- [j22]Haili Chui, Anand Rangarajan, Jie Zhang, Christiana Morison Leonard:
Unsupervised Learning of an Atlas from Unlabeled Point-Sets. IEEE Trans. Pattern Anal. Mach. Intell. 26(2): 160-172 (2004) - [c43]Hongyu Guo, Anand Rangarajan, Sarang C. Joshi, Laurent Younes:
A New Joint Clustering and Diffeomorphism Estimation Algorithm for Non-Rigid Shape Matching. CVPR Workshops 2004: 16-22 - [c42]Jie Zhang, Anand Rangarajan:
Affine Image Registration Using a New Information Metric. CVPR (1) 2004: 848-855 - [c41]Laurent Garcin, Anand Rangarajan, Laurent Younes:
Non rigid registration of shapes via diffeomorphic point matching and clustering. ICIP 2004: 3299-3302 - [c40]Jie Zhang, Anand Rangarajan:
A Unified Feature-Based Registration Method for Multimodality Images. ISBI 2004: 724-727 - [c39]Hongyu Guo, Anand Rangarajan, Sarang C. Joshi, Laurent Younes:
Non-Rigid Registration of Shapes Via Diffeomorphic Point Matching. ISBI 2004: 924-927 - [c38]Ing-Tsung Hsiao, Anand Rangarajan, Parmeshwar Khurd, Gene Gindi:
A New, Fast, Relaxation-Free, Convergent, Hessian-based, Ordered-Subsets Algorithm for Emission Tomography. ISBI 2004: 1408-1411 - 2003
- [j21]Haili Chui, Anand Rangarajan:
A new point matching algorithm for non-rigid registration. Comput. Vis. Image Underst. 89(2-3): 114-141 (2003) - [j20]Ing-Tsung Hsiao, Anand Rangarajan, Gene Gindi:
Bayesian image reconstruction for transmission tomography using deterministic annealing. J. Electronic Imaging 12(1): 7-16 (2003) - [j19]Haili Chui, Lawrence Win, Robert T. Schultz, James S. Duncan, Anand Rangarajan:
A unified non-rigid feature registration method for brain mapping. Medical Image Anal. 7(2): 113-130 (2003) - [j18]Alan L. Yuille, Anand Rangarajan:
The Concave-Convex Procedure. Neural Comput. 15(4): 915-936 (2003) - [j17]Ravi Bansal, Lawrence H. Staib, Zhe Chen, Anand Rangarajan, Jonathan Knisely, Ravinder Nath, James S. Duncan:
Entropy-Based, Dual-Portal-to-3DCT Registration Incorporating Pixel Correlation. IEEE Trans. Medical Imaging 22(1): 29-49 (2003) - [j16]Ing-Tsung Hsiao, Anand Rangarajan, Gene Gindi:
A New Convex Edge-Preserving Median Prior with Applications to Tomography. IEEE Trans. Medical Imaging 22(5): 580-585 (2003) - [c37]Anand Rangarajan, James M. Coughlan, Alan L. Yuille:
A Bayesian Network Framework for Relational Shape Matching. ICCV 2003: 671-678 - [c36]Jie Zhang, Anand Rangarajan:
Bayesian Multimodality Non-rigid Image Registration via Conditional Density Estimation. IPMI 2003: 499-511 - [e1]Anand Rangarajan, Mário A. T. Figueiredo, Josiane Zerubia:
Energy Minimization Methods in Computer Vision and Pattern Recognition, 4th International Workshop, EMMCVPR 2003, Lisbon, Portugal, July 7-9, 2003, Proceedings. Lecture Notes in Computer Science 2683, Springer 2003, ISBN 3-540-40498-8 [contents] - 2002
- [j15]Ing-Tsung Hsiao, Anand Rangarajan, Gene Gindi:
Joint-MAP Bayesian tomographic reconstruction with a gamma-mixture prior. IEEE Trans. Image Process. 11(12): 1466-1477 (2002) - [c35]Ing-Tsung Hsiao, Anand Rangarajan, Gene Gindi:
A new convergent MAP reconstruction algorithm for emission tomography using ordered subsets and separable surrogates. ISBI 2002: 409-412 - [c34]N. Vohra, Baba C. Vemuri, Anand Rangarajan, Robin L. Gilmore, S. N. Roper, Christiana Morison Leonard:
Kernel Fisher for Shape Based Classification in Epilepsy. MICCAI (2) 2002: 436-443 - [c33]Ing-Tsung Hsiao, Anand Rangarajan, Gene R. Gindi:
Provably convergent OSEM-like reconstruction algorithm for emission tomography. Image Processing 2002 - 2001
- [c32]Anand Rangarajan, Haili Chui, Eric Mjolsness:
A Relationship between Spline-Based Deformable Models and Weighted Graphs in Non-Rigid Matching. CVPR (1) 2001: 897-904 - [c31]Anand Rangarajan:
Learning Matrix Space Image Representations. EMMCVPR 2001: 153-168 - [c30]Haili Chui, Lawrence Win, Robert T. Schultz, James S. Duncan, Anand Rangarajan:
A Unified Feature Registration Method for Brain Mapping. IPMI 2001: 300-314 - [c29]Ing-Tsung Hsiao, Anand Rangarajan, Gene R. Gindi:
Bayesian image reconstruction for transmission tomography using mixture model priors and deterministic annealing algorithms. Image Processing 2001 - [c28]Anand Rangarajan, Alan L. Yuille:
MIME: Mutual Information Minimization and Entropy Maximization for Bayesian Belief Propagation. NIPS 2001: 873-880 - [c27]Alan L. Yuille, Anand Rangarajan:
The Concave-Convex Procedure (CCCP). NIPS 2001: 1033-1040 - 2000
- [j14]Anand Rangarajan, Ing-Tsung Hsiao, Gene Gindi:
A Bayesian Joint Mixture Framework for the Integration of Anatomical Information in Functional Image Reconstruction. J. Math. Imaging Vis. 12(3): 199-217 (2000) - [j13]Anand Rangarajan:
Self-annealing and self-annihilation: unifying deterministic annealing and relaxation labeling. Pattern Recognit. 33(4): 635-649 (2000) - [c26]Anand Rangarajan, Haili Chui:
Applications of Optimizing Neural Networks in Medical Image Registration. ANNIMAB 2000: 99-104 - [c25]Haili Chui, Anand Rangarajan:
A New Algorithm for Non-Rigid Point Matching. CVPR 2000: 2044-2051 - [c24]Arun Jagota, Marcello Pelillo, Anand Rangarajan:
A New Deterministic Annealing Algorithm for Maximum Clique. IJCNN (6) 2000: 505-508
1990 – 1999
- 1999
- [j12]Anand Rangarajan, Haili Chui, James S. Duncan:
Rigid point feature registration using mutual information. Medical Image Anal. 3(4): 425-440 (1999) - [j11]Anand Rangarajan, Alan L. Yuille, Eric Mjolsness:
Convergence Properties of the Softassign Quadratic Assignment Algorithm. Neural Comput. 11(6): 1455-1474 (1999) - [c23]Anand Rangarajan, Haili Chui:
A mixed variable optimization approach to non-rigid image registration. Discrete Mathematical Problems with Medical Applications 1999: 105-123 - [c22]Anand Rangarajan, Haili Chui, Eric Mjolsness:
A New Distance Measure for Non-rigid Image Matching. EMMCVPR 1999: 237-252 - [c21]Haili Chui, James Rambo, James S. Duncan, Robert T. Schultz, Anand Rangarajan:
Registration of Cortical Anatomical Structures via Robust 3D Point Matching. IPMI 1999: 168-181 - [c20]Ravi Bansal, Lawrence H. Staib, Zhe Chen, Anand Rangarajan, Jonathan Knisely, Ravinder Nath, James S. Duncan:
Entropy-Based, Multiple-Portal-to-3DCT Registration for Prostate Radiotherapy Using Iteratively Estimated Segmentation. MICCAI 1999: 567-578 - 1998
- [j10]Steven Gold, Anand Rangarajan, Chien-Ping Lu, Suguna Pappu, Eric Mjolsness:
New algorithms for 2D and 3D point matching: pose estimation and correspondence. Pattern Recognit. 31(8): 1019-1031 (1998) - [c19]Ravi Bansal, Lawrence H. Staib, Zhe Chen, Anand Rangarajan, Jonathan Knisely, Ravinder Nath, James S. Duncan:
A Novel Approach for the Registration of 2D Portal and 3D CT Images for Treatment Setup Verification in Radiotherapy. MICCAI 1998: 1075-1086 - 1997
- [j9]Anand Rangarajan, Haili Chui, Eric Mjolsness, Suguna Pappu, Lila Davachi, Patricia S. Goldman-Rakic, James S. Duncan:
A robust point-matching algorithm for autoradiograph alignment. Medical Image Anal. 1(4): 379-398 (1997) - [c18]Anand Rangarajan:
Self Annealing: Unifying Deterministic Annealing and Relaxation Labelling. EMMCVPR 1997: 229-244 - [c17]Anand Rangarajan, Haili Chui, Fred L. Bookstein:
The Softassign Procrustes Matching Algorithm. IPMI 1997: 29-42 - [c16]Yi-Hwa Liu, Anand Rangarajan, Daniel Gagnon, Michel Therrien, Albert J. Sinusas, Frans J. Th. Wackers, I. George Zubal:
New Methods for SPECT Imaging and Pre-reconstruction Restoration. IPMI 1997: 531-536 - 1996
- [j8]Michael J. Black, Anand Rangarajan:
On the unification of line processes, outlier rejection, and robust statistics with applications in early vision. Int. J. Comput. Vis. 19(1): 57-91 (1996) - [j7]Steven Gold, Anand Rangarajan, Eric Mjolsness:
Learning with Preknowledge: Clustering with Point and Graph Matching Distance Measures. Neural Comput. 8(4): 787-804 (1996) - [j6]Anand Rangarajan, Steven Gold, Eric Mjolsness:
A Novel Optimizing Network Architecture with Applications. Neural Comput. 8(5): 1041-1060 (1996) - [j5]Steven Gold, Anand Rangarajan:
A Graduated Assignment Algorithm for Graph Matching. IEEE Trans. Pattern Anal. Mach. Intell. 18(4): 377-388 (1996) - [j4]Anand Rangarajan, Eric Mjolsness:
A Lagrangian relaxation network for graph matching. IEEE Trans. Neural Networks 7(6): 1365-1381 (1996) - [c15]Steven Gold, Anand Rangarajan:
Graph matching by graduated assignment. CVPR 1996: 239-244 - [c14]Steven Gold, Anand Rangarajan:
Graduated assignment graph matching. ICNN 1996: 1474-1479 - [c13]Anand Rangarajan, Alan L. Yuille, Steven Gold, Eric Mjolsness:
A Convergence Proof for the Softassign Quadratic Assignment Algorithm. NIPS 1996: 620-626 - [c12]Anand Rangarajan, Eric Mjolsness, Suguna Pappu, Lila Davachi, Patricia S. Goldman-Rakic, James S. Duncan:
A Robust Point Matching Algorithm for Autoradiograph Alignment. VBC 1996: 277-286 - 1995
- [j3]Soo-Jin Lee, Anand Rangarajan, Gene Gindi:
Bayesian image reconstruction in SPECT using higher order mechanical models as priors. IEEE Trans. Medical Imaging 14(4): 669-680 (1995) - [c11]Hemant D. Tagare, Donal O'Shea, Anand Rangarajan:
A Geometric Criterion for Shape-Based Non-Rigid Correspondence. ICCV 1995: 434-439 - [c10]Steven Gold, Anand Rangarajan:
Softassign versus Softmax: Benchmarks in Combinatorial Optimization. NIPS 1995: 626-632 - [c9]Suguna Pappu, Steven Gold, Anand Rangarajan:
A Framework for Non-rigid Matching and Correspondence. NIPS 1995: 795-801 - 1994
- [c8]Michael J. Black, Anand Rangarajan:
The outlier process: unifying line processes and robust statistics. CVPR 1994: 15-22 - [c7]Steven Gold, Anand Rangarajan, Eric Mjolsness:
Learning with Preknowledge: Clustering with Point and Graph Matching Distance Measures. NIPS 1994: 713-720 - [c6]Steven Gold, Chien-Ping Lu, Anand Rangarajan, Suguna Pappu, Eric Mjolsness:
New Algorithms for 2D and 3D Point Matching: Pose Estimation and Correspondence. NIPS 1994: 957-964 - 1993
- [j2]Gene Gindi, Mindy MinHae Lee, Anand Rangarajan, I. George Zubal:
Bayesian reconstruction of functional images using anatomical information as priors. IEEE Trans. Medical Imaging 12(4): 670-680 (1993) - [c5]Gene Gindi, Anand Rangarajan, M. Lee, P. J. Hong, I. George Zubal:
Bayesian Reconstruction for Emissiom Tomography via Deterministic Annealing. IPMI 1993: 322-338 - [c4]Steven Gold, Eric Mjolsness, Anand Rangarajan:
Clustering with a Domain-Specific Distance Measure. NIPS 1993: 96-103 - 1991
- [j1]Anand Rangarajan:
Visual Reconstruction (Andrew Blake and Andrew Zisserman). SIAM Rev. 33(2): 333-334 (1991) - [c3]Anand Rangarajan, Rama Chellappa:
Image estimation and segmentation using a continuation method. ICASSP 1991: 2697-2700 - [c2]Gene Gindi, M. Lee, Anand Rangarajan, I. George Zubal:
Bayesian Reconstruction of Functional Images Using Registered Anatomical Images as Priors. IPMI 1991: 121-131 - 1990
- [c1]Anand Rangarajan, Rama Chellappa:
Generalized graduated nonconvexity algorithm for maximum a posteriori image estimation. ICPR (2) 1990: 127-133
Coauthor Index
[j61] [j60] [c133] [c132] [c131] [c130] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [j59] [j58] [j57] [c129] [c128] [c127] [c126] [c125] [c124] [c123] [c122] [c121] [c120] [i27] [i26] [j56] [j55] [j54] [j53] [c119] [c118] [c117] [c116] [i25] [i24] [i23] [i22] [i21] [j52] [j50] [c115] [c114] [c113] [c112] [c111] [c110] [i20] [i19] [i17] [j47] [c109] [c108] [c107] [c106] [c105] [c104] [c103] [c102] [c101] [c100] [c99] [i15] [c98] [c97] [c96] [i14] [j45] [j44] [c95] [c94] [c93] [c92] [i13] [i12] [j41] [j40] [c90] [c89] [j38] [c88] [c86] [i10] [i9] [c82] [c81] [i5] [i4] [c76]
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