120 search results - page 10 / 24 » Discriminant binary data representation for speaker recognit... |
ICPR
2008
IEEE
15 years 11 months ago
2008
IEEE
Speaker independent feature extraction is a critical problem in speech recognition. Oriented principal component analysis (OPCA) is a potential solution that can find a subspace r...
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ECCV
2010
Springer
15 years 3 months ago
2010
Springer
Spoofing with photograph or video is one of the most common manner to circumvent a face recognition system. In this paper, we present a real-time and non-intrusive method to addre...
NIPS
2004
14 years 11 months ago
2004
Linear Discriminant Analysis (LDA) is a well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional d...
JMLR
2012
13 years 6 days ago
2012
Unsupervised discovery of latent representations, in addition to being useful for density modeling, visualisation and exploratory data analysis, is also increasingly important for...
ICANN
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. To generalize the Fisher Discriminant Analysis (FDA) algorithm to the case of discriminant functions belonging to a nonlinear, finite dimensional function space F (Nonli...