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ORCIDShrihari Vasudevan
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2020 – today
- 2024
[i6]Ishan Chokshi, Shrihari Vasudevan, Nachiappan Sundaram, Raaghul Ranganathan:
Sequential Binary Classification for Intrusion Detection in Software Defined Networks. CoRR abs/2406.06099 (2024)- 2023
- [c22]Shrihari Vasudevan, Sleeba Paul Puthepurakel, Marcial Gutierrez, M. J. Prasath:
Bayesian Regression for Interpretable Network Dimensioning. COMSNETS 2023: 698-705 - [c21]Venkatachalam Natchiappan, Shrihari Vasudevan, Thalanayar Muthukumar:
Estimating Task Completion Times for Network Rollouts using Statistical Models within Partitioning-based Regression Methods. COMSNETS 2023: 763-767 - 2022
- [c20]Gautham Krishna Gudur, Raaghul R, Adithya K, Shrihari Vasudevan:
Data-Efficient Automatic Model Selection in Unsupervised Anomaly Detection. ICMLA 2022: 1443-1448 - [i5]Venkatachalam Natchiappan, Shrihari Vasudevan, Thalanayar Muthukumar:
Estimating Task Completion Times for Network Rollouts using Statistical Models within Partitioning-based Regression Methods. CoRR abs/2211.10866 (2022) - 2020
- [j8]Shrihari Vasudevan
:
Mutual Information Based Learning Rate Decay for Stochastic Gradient Descent Training of Deep Neural Networks. Entropy 22(5): 560 (2020)
2010 – 2019
- 2019
- [i4]Saurav Basu, Koyel Mukherjee, Shrihari Vasudevan:
Layer Dynamics of Linearised Neural Nets. CoRR abs/1904.10689 (2019) - 2018
- [j7]Shrihari Vasudevan, Moninder Singh, Joydeep Mondal, Michael Peran, Benjamin Zweig, Brian Johnston, Rachel Rosenfeld:
Estimating Fungibility Between Skills by Combining Skill Similarities Obtained from Multiple Data Sources. Data Sci. Eng. 3(3): 248-262 (2018) - [i3]Shrihari Vasudevan:
Dynamic learning rate using Mutual Information. CoRR abs/1805.07249 (2018) - 2017
- [c19]Moninder Singh, Karthikeyan Natesan Ramamurthy, Shrihari Vasudevan:
Propensity modeling for employee Re-skilling. GlobalSIP 2017: 893-897 - [c18]Shrihari Vasudevan, Moninder Singh, Joydeep Mondal, Michael Peran, Ben Zweig, Brian Johnston, Rachel Rosenfeld:
Estimating Fungibility Between Skills by Combining Skill-Similarities Obtained from Multiple Data Sources. ICDM Workshops 2017: 229-236 - 2015
- [c17]Melanie E. Roberts, Shrihari Vasudevan:
Fine-grained multi-factor hail damage modelling. TAAI 2015: 517-524 - 2014
- [c16]Jose F. Zubizarreta-Rodriguez, Shrihari Vasudevan:
Bearing and gear failure detection for brushless DC motors with adaptive feature extraction and classification. AIM 2014: 1640-1646 - [c15]Jose F. Zubizarreta-Rodriguez, Shrihari Vasudevan:
Condition monitoring of brushless DC motors with non-stationary dynamic conditions. I2MTC 2014: 62-67 - 2012
- [j6]Arnau Ramisa, David Aldavert, Shrihari Vasudevan, Ricardo Toledo, Ramón López de Mántaras:
Evaluation of Three Vision Based Object Perception Methods for a Mobile Robot. J. Intell. Robotic Syst. 68(2): 185-208 (2012) - [j5]Shrihari Vasudevan:
Data fusion with Gaussian processes. Robotics Auton. Syst. 60(12): 1528-1544 (2012) - [c14]Shrihari Vasudevan, Arman Melkumyan, Steven Scheding:
Information fusion in multi-task Gaussian process models. MFI 2012: 225-232 - [i2]Shrihari Vasudevan, Arman Melkumyan, Steven Scheding:
Information fusion in multi-task Gaussian processes. CoRR abs/1210.1928 (2012) - 2011
- [c13]Shrihari Vasudevan, Fabio Ramos, Eric Nettleton, Hugh F. Durrant-Whyte:
Non-stationary dependent Gaussian processes for data fusion in large-scale terrain modeling. ICRA 2011: 1875-1882 - [i1]Arnau Ramisa, David Aldavert, Shrihari Vasudevan, Ricardo Toledo, Ramón López de Mántaras:
Evaluation of Three Vision Based Object Perception Methods for a Mobile Robot. CoRR abs/1102.0454 (2011) - 2010
- [j4]Shrihari Vasudevan, Fabio Tozeto Ramos, Eric Nettleton, Hugh F. Durrant-Whyte:
A Mine on Its Own. IEEE Robotics Autom. Mag. 17(2): 63-73 (2010) - [c12]Shrihari Vasudevan, Fabio T. Ramos, Eric Nettleton, Hugh F. Durrant-Whyte:
Heteroscedastic Gaussian processes for data fusion in large scale terrain modeling. ICRA 2010: 3452-3459 - [c11]Shrihari Vasudevan, Fabio T. Ramos, Eric Nettleton, Hugh F. Durrant-Whyte:
Large-scale terrain modeling from multiple sensors with dependent Gaussian processes. IROS 2010: 1215-1221 - [c10]Bertrand Douillard, James Patrick Underwood, Narek Melkumyan, Surya P. N. Singh, Shrihari Vasudevan, Christopher Joseph Brunner, Alastair James Quadros:
Hybrid elevation maps: 3D surface models for segmentation. IROS 2010: 1532-1538
2000 – 2009
- 2009
- [j3]Shrihari Vasudevan, Fabio T. Ramos, Eric Nettleton, Hugh F. Durrant-Whyte:
Gaussian process modeling of large-scale terrain. J. Field Robotics 26(10): 812-840 (2009) - [c9]Arnau Ramisa, Shrihari Vasudevan, David Aldavert, Ricardo Toledo, Ramón López de Mántaras:
Evaluation of the SIFT Object Recognition Method in Mobile Robots. CCIA 2009: 9-18 - [c8]Shrihari Vasudevan, Fabio T. Ramos, Eric Nettleton, Hugh F. Durrant-Whyte, Allan Blair:
Gaussian Process modeling of large scale terrain. ICRA 2009: 1047-1053 - 2008
- [j2]Shrihari Vasudevan, Roland Siegwart:
Bayesian space conceptualization and place classification for semantic maps in mobile robotics. Robotics Auton. Syst. 56(6): 522-537 (2008) - [c7]Arnau Ramisa, Shrihari Vasudevan, Davide Scaramuzza, Ramón López de Mántaras, Roland Siegwart:
A Tale of Two Object Recognition Methods for Mobile Robots. ICVS 2008: 353-362 - 2007
- [j1]Shrihari Vasudevan, Stefan Gächter, Viet Nguyen, Roland Siegwart:
Cognitive maps for mobile robots - an object based approach. Robotics Auton. Syst. 55(5): 359-371 (2007) - [c6]Shrihari Vasudevan, Ahad Harati, Roland Siegwart:
A Bayesian Approach to Conceptualization and Place Classification: Using the Number of Occurrences of Objects to Infer Concepts. EMCR 2007 - [c5]Shrihari Vasudevan, Roland Siegwart:
A bayesian conceptualization of space for mobile robots. IROS 2007: 715-720 - 2006
- [c4]Shrihari Vasudevan, Stefan Gächter, Ahad Harati, Roland Siegwart:
A Hierarchical Concept Oriented Representation for Spatial Cognition in Mobile Robots. 50 Years of Artificial Intelligence 2006: 243-256 - 2005
- [c3]Adriana Tapus, Shrihari Vasudevan, Roland Siegwart:
Towards a multilevel cognitive probabilistic representation of space. Human Vision and Electronic Imaging 2005: 39-48 - 2004
- [c2]T. Nathan Mundhenk, Vidhya Navalpakkam, Hendrik Makaliwe, Shrihari Vasudevan, Laurent Itti:
Biologically inspired feature-based categorization of objects. Human Vision and Electronic Imaging 2004: 330-341 - [c1]Roland Siegwart, Shrihari Vasudevan, Adriana Tapus:
From Geometric to Cognitive Maps - A Key Element for Personal Robots. IFIP Congress Topical Sessions 2004: 755-759
Coauthor Index
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