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SDM
2009
SIAM
180views Data Mining» more  SDM 2009»
14 years 2 months ago
Hierarchical Linear Discriminant Analysis for Beamforming.
This paper demonstrates the applicability of the recently proposed supervised dimension reduction, hierarchical linear discriminant analysis (h-LDA) to a well-known spatial locali...
Barry L. Drake, Haesun Park, Jaegul Choo
ICPR
2008
IEEE
13 years 11 months ago
Linear discriminant analysis for data with subcluster structure
Linear discriminant analysis (LDA) is a widely-used feature extraction method in classification. However, the original LDA has limitations due to the assumption of a unimodal str...
Haesun Park, Jaegul Choo, Barry L. Drake, Jinwoo K...
ICDAR
2007
IEEE
13 years 11 months ago
Finger-Written Chinese Characters Recognition Using Hierarchical LDA
In our camera based user interface, user inputs Chinese characters by moving fingertip with his/her fingers. Therefore, we call those characters “finger– written Chinese chara...
D. Yang, L. Jin, L.-X. Zhen, J.-C. Huang
SIAMJO
2008
104views more  SIAMJO 2008»
13 years 5 months ago
A Minimax Theorem with Applications to Machine Learning, Signal Processing, and Finance
This paper concerns a fractional function of the form xT a/ xT Bx, where B is positive definite. We consider the game of choosing x from a convex set, to maximize the function, an...
Seung-Jean Kim, Stephen P. Boyd
MMM
2007
Springer
143views Multimedia» more  MMM 2007»
13 years 11 months ago
Semi-supervised Cast Indexing for Feature-Length Films
Abstract. Cast indexing is a very important application for contentbased video browsing and retrieval, since the characters in feature-length films and TV series are always the ma...
Wei Fan, Tao Wang, Jean-Yves Bouguet, Wei Hu, Yimi...