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» Stability of Feature Selection Algorithms
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NIPS
2008
13 years 10 months ago
Clustering via LP-based Stabilities
A novel center-based clustering algorithm is proposed in this paper. We first formulate clustering as an NP-hard linear integer program and we then use linear programming and the ...
Nikos Komodakis, Nikos Paragios, Georgios Tziritas
ICDM
2003
IEEE
143views Data Mining» more  ICDM 2003»
14 years 1 months ago
Active Sampling for Feature Selection
In knowledge discovery applications, where new features are to be added, an acquisition policy can help select the features to be acquired based on their relevance and the cost of...
Sriharsha Veeramachaneni, Paolo Avesani
ICPR
2008
IEEE
14 years 2 months ago
Feature selection for clustering with constraints using Jensen-Shannon divergence
In semi-supervised clustering, domain knowledge can be converted to constraints and used to guide the clustering. In this paper we propose a feature selection algorithm for semi-s...
Yuanhong Li, Ming Dong, Yunqian Ma
SGAI
2004
Springer
14 years 1 months ago
Interactive Selection of Visual Features through Reinforcement Learning
We introduce a new class of Reinforcement Learning algorithms designed to operate in perceptual spaces containing images. They work by classifying the percepts using a computer vi...
Sébastien Jodogne, Justus H. Piater
IPMI
2003
Springer
14 years 9 months ago
Feature Selection for Shape-Based Classification of Biological Objects
Abstract. In this paper, feature selection methodology from the machine learning literature is applied to the problem of shape-based classification. This methodology discards stati...
Paul A. Yushkevich, Sarang C. Joshi, Stephen M. Pi...