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SPEECH
1998
14 years 9 months ago
1998
We present the theory for heteroscedastic discriminant analysis (HDA), a model-based generalization of linear discriminant analysis (LDA) derived in the maximum-likelihood framewo...
JMLR
2010
14 years 4 months ago
2010
Fisher linear discriminant analysis (FDA) and its kernel extension--kernel discriminant analysis (KDA)--are well known methods that consider dimensionality reduction and classific...
DATE
2009
IEEE
15 years 4 months ago
2009
IEEE
—Multiprocessor System on Chip (MPSoC) architecture is rapidly gaining momentum for modern embedded devices. The vulnerabilities in software on MPSoCs are often exploited to caus...
CVPR
2004
IEEE
15 years 1 months ago
2004
IEEE
This paper formulates the problem of object categorization in the discriminant analysis framework focusing on transforming visual feature data so as to make it conform to the comp...
113
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PAMI
2008
14 years 9 months ago
2008
Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...