886 search results - page 3 / 178 » Distributed linear discriminant analysis |
ICPR
2010
IEEE
13 years 8 months ago
2010
IEEE
This paper presents a novel discriminative feature transformation, named full-rank generalized likelihood ratio discriminant analysis (fGLRDA), on the grounds of the likelihood ra...
JCISD
2006
13 years 6 months ago
2006
We propose a new classification method for prediction of drug properties, called the Random Feature Subset Boosting for Linear Discriminant Analysis (LDA). The main novelty of this...
CVPR
2010
IEEE
13 years 10 months ago
2010
IEEE
Kernel methods provide an efficient mechanism to derive nonlinear algorithms. In classification problems as well as in feature extraction, kernel-based approaches map the original...
CVPR
2007
IEEE
14 years 8 months ago
2007
IEEE
Dimensionality reduction is an important issue when facing high-dimensional data. For supervised dimensionality reduction, Linear Discriminant Analysis (LDA) is one of the most po...
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
Recently, i-vector extraction and Probabilistic Linear Discriminant Analysis (PLDA) have proven to provide state-of-the-art speaker verification performance. In this paper, the s...