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ACL
2006
15 years 4 months ago
A Progressive Feature Selection Algorithm for Ultra Large Feature Spaces
Recent developments in statistical modeling of various linguistic phenomena have shown that additional features give consistent performance improvements. Quite often, improvements...
Qi Zhang, Fuliang Weng, Zhe Feng
ICASSP
2008
IEEE
15 years 9 months ago
Environmental sound recognition using MP-based features
Defining suitable features for environmental sounds is an important problem in an automatic acoustic scene recognition system. As with most pattern recognition problems, extracti...
Selina Chu, Shrikanth S. Narayanan, C. C. Jay Kuo
ICIP
2003
IEEE
16 years 4 months ago
Optimal Gabor kernel location selection for face recognition
In local feature?based face recognition systems, the topographical locations of feature extractors directly affect the discriminative power of a recognizer. Better recognition acc...
Berk Gökberk, Ethem Alpaydin, Lale Akarun, M....
CORR
2007
Springer
198views Education» more  CORR 2007»
15 years 3 months ago
Clustering and Feature Selection using Sparse Principal Component Analysis
In this paper, we study the application of sparse principal component analysis (PCA) to clustering and feature selection problems. Sparse PCA seeks sparse factors, or linear combi...
Ronny Luss, Alexandre d'Aspremont
ICCV
2001
IEEE
16 years 5 months ago
Feature Selection from Huge Feature Sets
The number of features that can be computed over an image is, for practical purposes, limitless. Unfortunately, the number of features that can be computed and exploited by most c...
José Bins, Bruce A. Draper