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» A selective sampling approach to active feature selection
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96
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KDD
2006
ACM
150views Data Mining» more  KDD 2006»
16 years 2 months ago
Maximally informative k-itemsets and their efficient discovery
In this paper we present a new approach to mining binary data. We treat each binary feature (item) as a means of distinguishing two sets of examples. Our interest is in selecting ...
Arno J. Knobbe, Eric K. Y. Ho
ICIP
2008
IEEE
15 years 8 months ago
A gradient-based hybrid image fusion scheme using object extraction
This paper presents a new hybrid image fusion scheme that combines features of pixel and region based fusion, to be integrated in a surveillance system. In such systems, objects c...
Milad Ghantous, Soumik Ghosh, Magdy Bayoumi
GI
2007
Springer
15 years 7 months ago
Texture-based Surface Segmentation Using Second-order Statistics of Illumination Series
: Many automated visual inspection applications rely on a segmentation of surfaces into meaningful regions, for instance into defective and non-defective areas. This paper presents...
Christoph Lindner, Fabian Schäffler, Fernando...
203
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GFKL
2007
Springer
202views Data Mining» more  GFKL 2007»
15 years 5 months ago
Collective Classification for Labeling of Places and Objects in 2D and 3D Range Data
In this paper, we present an algorithm to identify types of places and objects from 2D and 3D laser range data obtained in indoor environments. Our approach is a combination of a c...
Rudolph Triebel, Óscar Martínez Mozo...
CASES
2006
ACM
15 years 7 months ago
Automatic performance model construction for the fast software exploration of new hardware designs
Developing an optimizing compiler for a newly proposed architecture is extremely difficult when there is only a simulator of the machine available. Designing such a compiler requ...
John Cavazos, Christophe Dubach, Felix V. Agakov, ...