Xiaomu Song

According to our database1, Xiaomu Song authored at least 24 papers between 2002 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
AA Comparison of Dynamic Modeling Approaches for Epileptic EEG Detection and Classification.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Dynamic Modeling and Classification of Epileptic EEG Data.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

2016
Data-Driven and Predefined ROI-Based Quantification of Long-Term Resting-State fMRI Reproducibility.
Brain Connect., 2016

2015
Improving brain-computer interface classification using adaptive common spatial patterns.
Comput. Biol. Medicine, 2015

2014
A study of long-term fMRI reproducibility using data-driven analysis methods.
Int. J. Imaging Syst. Technol., 2014

A unified machine learning method for task-related and resting state fMRI data analysis.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2011
Identification and attenuation of physiological noise in fMRI using kernel techniques.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
Mapping rabbit whisker barrels using discriminant analysis of high field fMRI data.
NeuroImage, 2010

2009
Unsupervised spatiotemporal fMRI data analysis using support vector machines.
NeuroImage, 2009

2008
SVM-Based Data Editing for Enhanced One-Class Classification of Remotely Sensed Imagery.
IEEE Geosci. Remote. Sens. Lett., 2008

Baseline drift and physiological noise removal in high field FMRI data using kernel PCA.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Selecting Salient Frames for Spatiotemporal Video Modeling and Segmentation.
IEEE Trans. Image Process., 2007

One-class Machine Learning for Brain Activation Detection.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Joint Key-Frame Extraction and Object Segmentation for Content-Based Video Analysis.
IEEE Trans. Circuits Syst. Video Technol., 2006

Spatiotemporal Denoising and Clustering of fMRI Data.
Proceedings of the International Conference on Image Processing, 2006

2005
Automatic CRP mapping using nonparametric machine learning approaches.
IEEE Trans. Geosci. Remote. Sens., 2005

A ν-insensitive SVM approach for compliance monitoring of the conservation reserve program.
IEEE Geosci. Remote. Sens. Lett., 2005

Joint Key-Frame Extraction and Object-Based Video Segmentation.
Proceedings of the 7th IEEE Workshop on Applications of Computer Vision / IEEE Workshop on Motion and Video Computing (WACV/MOTION 2005), 2005

A New Video Analysis Approach for Coherent Key-frame Extraction and Object Segmentation.
Proceedings of the IEEE 7th Workshop on Multimedia Signal Processing, 2005

Key-frame extraction for Object-based Video Segmentation.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Application of support vector machines for automatic compliance monitoring of the conservation reserve program (CRP) tracts.
Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004

2003
Unsupervised Bayesian image segmentation using wavelet-domain hidden Markov models.
Proceedings of the 2003 International Conference on Image Processing, 2003

An entropy based segmentation algorithm for computer-generated document images.
Proceedings of the 2003 International Conference on Image Processing, 2003

2002
A study of contextual modeling and texture characterization for multiscale Bayesian segmentation.
Proceedings of the 2002 International Conference on Image Processing, 2002


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