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» Sampling Methods for Unsupervised Learning
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97
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ICMCS
2006
IEEE
160views Multimedia» more  ICMCS 2006»
15 years 5 months ago
Selecting Kernel Eigenfaces for Face Recognition with One Training Sample Per Subject
It is well-known that supervised learning techniques such as linear discriminant analysis (LDA) often suffer from the so called small sample size problem when apply to solve face ...
Jie Wang, Konstantinos N. Plataniotis, Anastasios ...
125
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CSDA
2007
169views more  CSDA 2007»
14 years 10 months ago
A null space method for over-complete blind source separation
In blind source separation, there are M sources that produce sounds independently and continuously over time. These sounds are then recorded by m receivers. The sound recorded by ...
Ray-Bing Chen, Ying Nian Wu
CVPR
2009
IEEE
16 years 6 months ago
Unsupervised Learning for Graph Matching
Graph matching is an important problem in computer vision. It is used in 2D and 3D object matching and recognition. Despite its importance, there is little literature on learnin...
Marius Leordeanu, Martial Hebert
78
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COLING
2008
15 years 11 days ago
Looking for Trouble
This paper presents a method for mining potential troubles or obstacles related to the use of a given object. Some example instances of this relation are medicine, side effect and...
Stijn De Saeger, Kentaro Torisawa, Jun'ichi Kazama
COLING
2000
15 years 8 days ago
Automatic Text Categorization by Unsupervised Learning
The goal of text categorization is to classify documents into a certain number of pre-defined categories. The previous works in this area have used a large number of labeled train...
Youngjoong Ko, Jungyun Seo