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» Boosting and Hard-Core Sets
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135
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CVPR
2005
IEEE
16 years 2 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
ICCV
2001
IEEE
16 years 2 months ago
Pairwise Face Recognition
We develop a pairwise classification framework for face recognition, in which a class face recognition problem is divided into a set of ? ?? ? two class problems. Such a problem...
Guodong Guo, HongJiang Zhang, Stan Z. Li
102
Voted
ICCD
2005
IEEE
246views Hardware» more  ICCD 2005»
15 years 9 months ago
H-SIMD Machine: Configurable Parallel Computing for Matrix Multiplication
FPGAs (Field-Programmable Gate Arrays) are often used as coprocessors to boost the performance of dataintensive applications [1, 2]. However, mapping algorithms onto multimillion-...
Xizhen Xu, Sotirios G. Ziavras
CLEAR
2007
Springer
154views Biometrics» more  CLEAR 2007»
15 years 6 months ago
Tsinghua Face Detection and Tracking for CLEAR 2007 Evaluation
This paper presents the algorithm and evaluation results of a face detection and tracking system. A tree-structured multi-view face detector trained by Vector Boosting is used as t...
Yuan Li, Chang Huang, Haizhou Ai
109
Voted
ICMCS
2005
IEEE
129views Multimedia» more  ICMCS 2005»
15 years 6 months ago
Feature Selection and Stacking for Robust Discrimination of Speech, Monophonic Singing, and Polyphonic Music
In this work we strive to find an optimal set of acoustic features for the discrimination of speech, monophonic singing, and polyphonic music to robustly segment acoustic media st...
Björn Schuller, Brüning J. B. Schmitt, D...