Sciweavers

100 search results - page 7 / 20
» Generalized Linear Discriminant Analysis: A Unified Framewor...
Sort
View
SPEECH
1998
171views more  SPEECH 1998»
13 years 7 months ago
Heteroscedastic discriminant analysis and reduced rank HMMs for improved speech recognition
We present the theory for heteroscedastic discriminant analysis (HDA), a model-based generalization of linear discriminant analysis (LDA) derived in the maximum-likelihood framewo...
Nagendra Kumar, Andreas G. Andreou
CVPR
2007
IEEE
14 years 9 months ago
Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction
Linear Discriminant Analysis (LDA) is a popular statistical approach for dimensionality reduction. LDA captures the global geometric structure of the data by simultaneously maximi...
Jianhui Chen, Jieping Ye, Qi Li
ICC
2007
IEEE
119views Communications» more  ICC 2007»
13 years 11 months ago
Asymptotic SER Analysis of EGC and SC in Fading and Non-Gaussian Noise and Interference
In this paper, we present a unified asymptotic symbol error rate (SER) analysis for linearly modulated signals with equal gain combining (EGC) and selection combining (SC) at the r...
Amir Nasri, Robert Schober, Yao Ma
MICCAI
2006
Springer
14 years 8 months ago
A New Closed-Form Information Metric for Shape Analysis
Shape matching plays a prominent role in the analysis of medical and biological structures. Recently, a unifying framework was introduced for shape matching that uses mixture-model...
Adrian Peter, Anand Rangarajan
CVPR
2005
IEEE
14 years 9 months ago
Subspace Analysis Using Random Mixture Models
In [1], three popular subspace face recognition methods, PCA, Bayes, and LDA were analyzed under the same framework and an unified subspace analysis was proposed. However, since t...
Xiaogang Wang, Xiaoou Tang