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» Feature Selection in Clustering Problems
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ICMCS
2006
IEEE
112views Multimedia» more  ICMCS 2006»
14 years 3 months ago
Visual Feature Space Analysis for Unsupervised Effectiveness Estimation and Feature Engineering
The Feature Vector approach is one of the most popular schemes for managing multimedia data. For many data types such as audio, images, or 3D models, an abundance of different Fea...
Tobias Schreck, Daniel A. Keim, Christian Panse
CORR
2010
Springer
152views Education» more  CORR 2010»
13 years 9 months ago
Microlocal Analysis of the Geometric Separation Problem
Image data are often composed of two or more geometrically distinct constituents; in galaxy catalogs, for instance, one sees a mixture of pointlike structures (galaxy supercluster...
David L. Donoho, Gitta Kutyniok
CIARP
2006
Springer
14 years 21 days ago
Oscillating Feature Subset Search Algorithm for Text Categorization
Abstract. A major characteristic of text document categorization problems is the extremely high dimensionality of text data. In this paper we explore the usability of the Oscillati...
Jana Novovicová, Petr Somol, Pavel Pudil
ICDM
2009
IEEE
110views Data Mining» more  ICDM 2009»
14 years 3 months ago
Projective Clustering Ensembles
Recent advances in data clustering concern clustering ensembles and projective clustering methods, each addressing different issues in clustering problems. In this paper, we consi...
Francesco Gullo, Carlotta Domeniconi, Andrea Tagar...
ICPR
2010
IEEE
13 years 6 months ago
Automatic Attribute Threshold Selection for Blood Vessel Enhancement
Attribute filters allow enhancement and extraction of features without distorting their borders, and never introduce new image features. These are highly desirable properties in bi...
Fred N. Kiwanuka, Michael H. F. Wilkinson