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ICML
2004
IEEE
14 years 9 months ago
Multi-task feature and kernel selection for SVMs
We compute a common feature selection or kernel selection configuration for multiple support vector machines (SVMs) trained on different yet inter-related datasets. The method is ...
Tony Jebara
ICDAR
2009
IEEE
14 years 3 months ago
Generic Feature Selection and Document Processing
This paper presents a generic features selection method and its applications on some document analysis problems. The method is based on a genetic algorithm (GA), whose tness funct...
Hassan Chouaib, Nicole Vincent, Florence Cloppet, ...
WECWIS
2006
IEEE
107views ECommerce» more  WECWIS 2006»
14 years 2 months ago
Concept Covering for Automated Building Blocks Selection based on Business Processes Semantics
In this paper we present a novel approach and a system for automated selection of building blocks, by exploiting business processes semantics. The selection process is based on a ...
Francesco di Cugno, Tommaso Di Noia, Eugenio Di Sc...
KI
2005
Springer
14 years 2 months ago
Selecting What Is Important: Training Visual Attention
We present a new, sophisticated algorithm to select suitable training images for our biologically motivated attention system VOCUS. The system detects regions of interest depending...
Simone Frintrop, Gerriet Backer, Erich Rome
LWA
2008
13 years 10 months ago
A Comparison of Techniques for Selecting and Combining Class Association Rules
Local pattern discovery, pattern set formation and global modeling may be viewed as three consecutive steps in a global modeling process. As each of these three steps have gained a...
Jan-Nikolas Sulzmann, Johannes Fürnkranz