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» On Feature Selection through Clustering
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SDM
2007
SIAM
137views Data Mining» more  SDM 2007»
13 years 9 months ago
Semi-supervised Feature Selection via Spectral Analysis
Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
Zheng Zhao, Huan Liu
ISNN
2011
Springer
12 years 10 months ago
Orthogonal Feature Learning for Time Series Clustering
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
Xiaozhe Wang, Leo Lopes
CRV
2007
IEEE
159views Robotics» more  CRV 2007»
14 years 2 months ago
Automatic Detection and Clustering of Actor Faces based on Spectral Clustering Techniques
We describe a video indexing system that aims at indexing large video files in relation to the presence of similar faces. The detection of near-frontal view faces is done with a c...
Samuel Foucher, Langis Gagnon
CVPR
2001
IEEE
14 years 9 months ago
Local Feature View Clustering for 3D Object Recognition
There have been important recent advances in object recognition through the matching of invariant local image features. However, the existing approaches are based on matching to i...
David G. Lowe
SDM
2008
SIAM
117views Data Mining» more  SDM 2008»
13 years 9 months ago
A Feature Selection Algorithm Capable of Handling Extremely Large Data Dimensionality
With the advent of high throughput technologies, feature selection has become increasingly important in a wide range of scientific disciplines. We propose a new feature selection ...
Yijun Sun, Sinisa Todorovic, Steve Goodison