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IPMU
2010
Springer
13 years 6 months ago
Attribute Value Selection Considering the Minimum Description Length Approach and Feature Granularity
Abstract. In this paper we introduce a new approach to automatic attribute and granularity selection for building optimum regression trees. The method is based on the minimum descr...
Kemal Ince, Frank Klawonn
CIVR
2007
Springer
173views Image Analysis» more  CIVR 2007»
14 years 2 months ago
Fast and cheap object recognition by linear combination of views
In this paper, we present a real-time algorithm for 3D object detection in images. Our method relies on the Ullman and Basri [13] theory which claims that the same object under di...
Jérome Revaud, Guillaume Lavoué, Yas...
ISMIR
2005
Springer
127views Music» more  ISMIR 2005»
14 years 1 months ago
Towards a Fast and Efficient Match Algorithm for Content-Based Music Retrieval on Acoustic Data
In this paper we present a fast and efficient match algorithm, which consists of two key techniques: Spectral Correlation Based Feature Merge(SCBFM) and Two-Step Retrieval(TSR). ...
Yi Yu, Chiemi Watanabe, Kazuki Joe
ICPR
2004
IEEE
14 years 9 months ago
Feature Selection and Gene Clustering from Gene Expression Data
In this article we describe an algorithm for feature selection and gene clustering from high dimensional gene expression data. The method is based on measuring similarity between ...
D. Dutta Majumder, Pabitra Mitra
ECML
1998
Springer
14 years 6 days ago
A Monotonic Measure for Optimal Feature Selection
Feature selection is a problem of choosing a subset of relevant features. Researchers have been searching for optimal feature selection methods. `Branch and Bound' and Focus a...
Huan Liu, Hiroshi Motoda, Manoranjan Dash