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» A selective sampling approach to active feature selection
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ICML
2007
IEEE
15 years 11 months ago
Adaptive dimension reduction using discriminant analysis and K-means clustering
We combine linear discriminant analysis (LDA) and K-means clustering into a coherent framework to adaptively select the most discriminative subspace. We use K-means clustering to ...
Chris H. Q. Ding, Tao Li
FGR
2004
IEEE
193views Biometrics» more  FGR 2004»
15 years 1 months ago
Face Recognition Using Ada-Boosted Gabor Features
Face representation based on Gabor features has attracted much attention and achieved great success in face recognition area for the advantages of the Gabor features. However, Gab...
Peng Yang, Shiguang Shan, Wen Gao, Stan Z. Li, Don...
CVPR
2006
IEEE
16 years 2 days ago
Accelerated Kernel Feature Analysis
A fast algorithm, Accelerated Kernel Feature Analysis (AKFA), that discovers salient features evidenced in a sample of n unclassified patterns, is presented. Like earlier kernel-b...
Xianhua Jiang, Yuichi Motai, Robert R. Snapp, Xing...
MASCOTS
2010
14 years 11 months ago
RRDtrace: Long-term Raw Network Traffic Recording using Fixed-size Storage
Recording raw network traffic for long-term periods can be extremely beneficial for a multitude of monitoring and security applications. However, storing all traffic of high volume...
Antonis Papadogiannakis, Michalis Polychronakis, E...
ICDAR
2009
IEEE
15 years 4 months ago
Scalable Feature Extraction from Noisy Documents
We cope with the metadata recognition in layoutoriented documents. We address the problem as a classification task and propose a method for automatic extraction of relevant featu...
Loïc Lecerf, Boris Chidlovskii