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» Near Optimal Dimensionality Reductions That Preserve Volumes
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ICASSP
2010
IEEE
14 years 10 months ago
Evaluation of random-projection-based feature combination on speech recognition
Random projection has been suggested as a means of dimensionality reduction, where the original data are projected onto a subspace using a random matrix. It represents a computati...
Tetsuya Takiguchi, Jeff Bilmes, Mariko Yoshii, Yas...
ICCV
2009
IEEE
1363views Computer Vision» more  ICCV 2009»
16 years 2 months ago
Human Detection Using Partial Least Squares Analysis
Significant research has been devoted to detecting people in images and videos. In this paper we describe a human detection method that augments widely used edge-based features ...
William Robson Schwartz, Aniruddha Kembhavi, David...
CCE
2004
14 years 9 months ago
Optimal scheduling of multiproduct pipeline systems using a non-discrete MILP formulation
Multiproduct pipelines permit to transport large volumes of a wide range of refined petroleum products from major supply sources to distribution centers near market areas. Batches...
Diego C. Cafaro, Jaime Cerdá
IJCV
2006
206views more  IJCV 2006»
14 years 9 months ago
Random Sampling for Subspace Face Recognition
Subspacefacerecognitionoftensuffersfromtwoproblems:(1)thetrainingsamplesetissmallcompared with the high dimensional feature vector; (2) the performance is sensitive to the subspace...
Xiaogang Wang, Xiaoou Tang
SDM
2009
SIAM
152views Data Mining» more  SDM 2009»
15 years 7 months ago
Non-negative Matrix Factorization, Convexity and Isometry.
In this paper we explore avenues for improving the reliability of dimensionality reduction methods such as Non-Negative Matrix Factorization (NMF) as interpretive exploratory data...
Nikolaos Vasiloglou, Alexander G. Gray, David V. A...