93 search results - page 16 / 19 » Subspace independent component analysis using vector kurtosi... |
100
Voted
ISBI
2004
IEEE
16 years 11 days ago
2004
IEEE
Independent Component Analysis is becoming a popular exploratory method for analysing complex data such as that from FMRI experiments. The application of such `model-free' me...
108
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EMNLP
2010
14 years 9 months ago
2010
Representing documents by vectors that are independent of language enhances machine translation and multilingual text categorization. We use discriminative training to create a pr...
ICASSP
2008
IEEE
15 years 6 months ago
2008
IEEE
Many source separation algorithms fail to deliver robust performance when applied to signals recorded using highdensity microphone arrays where distance between sensor elements is...
100
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WACV
2005
IEEE
15 years 5 months ago
2005
IEEE
The performance of face recognition systems that use two-dimensional images depends on consistent conditions w.r.t. lighting, pose, and facial appearance. We are developing a face...
IDA
2009
Springer
15 years 6 months ago
2009
Springer
Abstract. We present a probabilistic model for robust principal component analysis (PCA) in which the observation noise is modelled by Student-t distributions that are independent ...