93 search results - page 16 / 19 » Subspace independent component analysis using vector kurtosi... |
ISBI
2004
IEEE
14 years 8 months 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...
EMNLP
2010
13 years 5 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
14 years 2 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...
WACV
2005
IEEE
14 years 1 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
14 years 2 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 ...