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TKDE
2008
195views more  TKDE 2008»
15 years 4 months ago
Learning a Maximum Margin Subspace for Image Retrieval
One of the fundamental problems in Content-Based Image Retrieval (CBIR) has been the gap between low-level visual features and high-level semantic concepts. To narrow down this gap...
Xiaofei He, Deng Cai, Jiawei Han
150
Voted
CTW
2004
81views more  CTW 2004»
15 years 4 months ago
Rating non-technical skills: developing a behavioural marker system for use in anaesthesia
Studies of performance in medicine are often based on observation. Videotape provides a valuable tool for recording events from both real environments and simulators. When analysin...
G. Fletcher, R. Flin, P. McGeorge, R. Glavin, N. M...
IJON
2002
85views more  IJON 2002»
15 years 4 months ago
Learning statistically efficient features for speaker recognition
We apply independent component analysis (ICA) for extracting an optimal basis to the problem of finding efficient features for a speaker. The basis functions learned by the algori...
Gil-Jin Jang, Te-Won Lee, Yung-Hwan Oh
DATAMINE
1999
140views more  DATAMINE 1999»
15 years 4 months ago
A Scalable Parallel Algorithm for Self-Organizing Maps with Applications to Sparse Data Mining Problems
Abstract. We describe a scalable parallel implementation of the self organizing map (SOM) suitable for datamining applications involving clustering or segmentation against large da...
Richard D. Lawrence, George S. Almasi, Holly E. Ru...
CVPR
2010
IEEE
15 years 4 months ago
Cost-Sensitive Subspace Learning for Face Recognition
Conventional subspace learning-based face recognition aims to attain low recognition errors and assumes same loss from all misclassifications. In many real-world face recognition...
Jiwen Lu, Tan Yap-Peng