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2020 – today
- 2020
[c14]Xiaomu Song, Luis Aguilar, Suk-Chung Yoon:
AA Comparison of Dynamic Modeling Approaches for Epileptic EEG Detection and Classification. EMBC 2020: 523-527
2010 – 2019
- 2019
- [c13]Xiaomu Song, Luis Aguilar, Angela Herb, Suk-Chung Yoon:
Dynamic Modeling and Classification of Epileptic EEG Data. NER 2019: 49-52 - 2016
- [j10]Xiaomu Song, Lawrence P. Panych, Nankuei Chen
:
Data-Driven and Predefined ROI-Based Quantification of Long-Term Resting-State fMRI Reproducibility. Brain Connect. 6(2): 136-151 (2016) - 2015
- [j9]Xiaomu Song, Suk-Chung Yoon:
Improving brain-computer interface classification using adaptive common spatial patterns. Comput. Biol. Medicine 61: 150-160 (2015) - 2014
- [j8]Xiaomu Song, Lawrence P. Panych, Ying-Hui Chou, Nankuei Chen:
A study of long-term fMRI reproducibility using data-driven analysis methods. Int. J. Imaging Syst. Technol. 24(4): 339-349 (2014) - [c12]Xiaomu Song, Nan-kuei Chen:
A unified machine learning method for task-related and resting state fMRI data analysis. EMBC 2014: 6426-6429 - 2011
- [c11]Xiaomu Song, Nankuei Chen, Pooja Gaur:
Identification and attenuation of physiological noise in fMRI using kernel techniques. EMBC 2011: 4852-4855 - 2010
- [j7]Xiaomu Song, Limin Li, Daniil P. Aksenov, Michael J. Miller, Alice M. Wyrwicz:
Mapping rabbit whisker barrels using discriminant analysis of high field fMRI data. NeuroImage 51(2): 775-782 (2010)
2000 – 2009
- 2009
- [j6]Xiaomu Song, Alice M. Wyrwicz:
Unsupervised spatiotemporal fMRI data analysis using support vector machines. NeuroImage 47(1): 204-212 (2009) - 2008
- [j5]Xiaomu Song, Guoliang Fan, Mahesh N. Rao:
SVM-Based Data Editing for Enhanced One-Class Classification of Remotely Sensed Imagery. IEEE Geosci. Remote. Sens. Lett. 5(2): 189-193 (2008) - [c10]Xiaomu Song, Tongyou Ji, Alice M. Wyrwicz:
Baseline drift and physiological noise removal in high field FMRI data using kernel PCA. ICASSP 2008: 441-444 - 2007
- [j4]Xiaomu Song, Guoliang Fan:
Selecting Salient Frames for Spatiotemporal Video Modeling and Segmentation. IEEE Trans. Image Process. 16(12): 3035-3046 (2007) - [c9]Xiaomu Song, George Iordanescu, Alice M. Wyrwicz:
One-class Machine Learning for Brain Activation Detection. CVPR 2007 - 2006
- [j3]Xiaomu Song, Guoliang Fan:
Joint Key-Frame Extraction and Object Segmentation for Content-Based Video Analysis. IEEE Trans. Circuits Syst. Video Technol. 16(7): 904-914 (2006) - [c8]Xiaomu Song, Matthew Murphy, Alice M. Wyrwicz:
Spatiotemporal Denoising and Clustering of fMRI Data. ICIP 2006: 2857-2860 - 2005
- [j2]Xiaomu Song, Ginto Cherian, Guoliang Fan:
A ν-insensitive SVM approach for compliance monitoring of the conservation reserve program. IEEE Geosci. Remote. Sens. Lett. 2(2): 99-103 (2005) - [j1]Xiaomu Song, Guoliang Fan, Mahesh N. Rao:
Automatic CRP mapping using nonparametric machine learning approaches. IEEE Trans. Geosci. Remote. Sens. 43(4): 888-897 (2005) - [c7]Xiaomu Song, Guoliang Fan:
Key-frame extraction for Object-based Video Segmentation. ICASSP (2) 2005: 689-692 - [c6]Xiaomu Song, Guoliang Fan:
A New Video Analysis Approach for Coherent Key-frame Extraction and Object Segmentation. MMSP 2005: 1-4 - [c5]Xiaomu Song, Guoliang Fan:
Joint Key-Frame Extraction and Object-Based Video Segmentation. WACV/MOTION 2005: 126-131 - 2004
- [c4]Ginto Cherian, Xiaomu Song, Guoliang Fan, Mahesh N. Rao:
Application of support vector machines for automatic compliance monitoring of the conservation reserve program (CRP) tracts. IGARSS 2004 - 2003
- [c3]Xiaomu Song, Guoliang Fan:
Unsupervised Bayesian image segmentation using wavelet-domain hidden Markov models. ICIP (2) 2003: 423-426 - [c2]Lijie Liu, Yan Dong, Xiaomu Song, Guoliang Fan:
An entropy based segmentation algorithm for computer-generated document images. ICIP (1) 2003: 541-544 - 2002
- [c1]Guoliang Fan, Xiaomu Song:
A study of contextual modeling and texture characterization for multiscale Bayesian segmentation. ICIP (3) 2002: 309-312
Coauthor Index
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