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» Discriminant Analysis with Tensor Representation
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80
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PAMI
2007
154views more  PAMI 2007»
14 years 9 months ago
Graph Embedding and Extensions: A General Framework for Dimensionality Reduction
—Over the past few decades, a large family of algorithms—supervised or unsupervised; stemming from statistics or geometry theory—has been designed to provide different soluti...
Shuicheng Yan, Dong Xu, Benyu Zhang, HongJiang Zha...
PAMI
2006
132views more  PAMI 2006»
14 years 9 months ago
Capitalize on Dimensionality Increasing Techniques for Improving Face Recognition Grand Challenge Performance
This paper presents a novel pattern recognition framework by capitalizing on dimensionality increasing techniques. In particular, the framework integrates Gabor image representatio...
Chengjun Liu
ECCV
2006
Springer
15 years 11 months ago
Sampling Representative Examples for Dimensionality Reduction and Recognition - Bootstrap Bumping LDA
Abstract. We present a novel method for dimensionality reduction and recognition based on Linear Discriminant Analysis (LDA), which specifically deals with the Small Sample Size (S...
Hui Gao, James W. Davis
79
Voted
SSPR
2004
Springer
15 years 3 months ago
Combining Classifier for Face Identification at Unknown Views with a Single Model Image
Abstract. We investigate a number of approaches to pose invariant face recognition. Basically, the methods involve three sequential functions for capturing nonlinear manifolds of f...
Tae-Kyun Kim, Josef Kittler
ICASSP
2011
IEEE
14 years 1 months ago
Improved speaker recognition when using i-vectors from multiple speech sources
The concept of speaker recognition using i-vectors was recently introduced offering state-of-the-art performance. An i-vector is a compact representation of a speaker’s utteranc...
Mitchell McLaren, David A. van Leeuwen