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» Near Optimal Dimensionality Reductions That Preserve Volumes
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ICASSP
2010
IEEE
15 years 19 days 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 5 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
15 years 9 days 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
153
Voted
IJCV
2006
206views more  IJCV 2006»
15 years 13 days 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
88
Voted
SDM
2009
SIAM
152views Data Mining» more  SDM 2009»
15 years 9 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...