120 search results - page 11 / 24 » Discriminant binary data representation for speaker recognit... |
ICPR
2008
IEEE
15 years 4 months ago
2008
IEEE
The Gaussian mixture model (GMM) can approximate arbitrary probability distributions, which makes it a powerful tool for feature representation and classification. However, it su...
ICPR
2006
IEEE
15 years 11 months ago
2006
IEEE
Linear discriminant analysis (LDA) is a well-known scheme for feature extraction and dimensionality reduction of labeled data in a vector space. Recently, LDA has been extended to...
ACCV
2010
Springer
14 years 4 months ago
2010
Springer
Abstract. In set-based face recognition, each set of face images is often represented as a linear/nonlinear manifold and the Principal Angles (PA) or Kernel PAs are exploited to me...
ICPR
2004
IEEE
15 years 11 months ago
2004
IEEE
Recently, we proposed a novel facial representation for face recognition based on Local Binary Pattern (LBP) features. We obtained excellent results when dividing the face images ...
ICCV
2007
IEEE
15 years 11 months ago
2007
IEEE
In many vision problems, instead of having fully labeled training data, it is easier to obtain the input in small groups, where the data in each group is constrained to be from th...