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» Feature selection in scientific applications
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IJCV
1998
238views more  IJCV 1998»
13 years 9 months ago
Feature Detection with Automatic Scale Selection
The fact that objects in the world appear in different ways depending on the scale of observation has important implications if one aims at describing them. It shows that the not...
Tony Lindeberg
CIARP
2009
Springer
14 years 4 months ago
Analysis of the GRNs Inference by Using Tsallis Entropy and a Feature Selection Approach
Abstract. An important problem in the bioinformatics field is to understand how genes are regulated and interact through gene networks. This knowledge can be helpful for many appl...
Fabrício Martins Lopes, Evaldo A. de Olivei...
MIR
2010
ACM
217views Multimedia» more  MIR 2010»
14 years 3 months ago
Feature selection for content-based, time-varying musical emotion regression
In developing automated systems to recognize the emotional content of music, we are faced with a problem spanning two disparate domains: the space of human emotions and the acoust...
Erik M. Schmidt, Douglas Turnbull, Youngmoo E. Kim
ICDAR
2011
IEEE
12 years 9 months ago
Continuous CRF with Multi-scale Quantization Feature Functions Application to Structure Extraction in Old Newspaper
—We introduce quantization feature functions to represent continuous or large range discrete data into the symbolic CRF data representation. We show that doing this convertion in...
David Hebert, Thierry Paquet, Stéphane Nico...
CCGRID
2006
IEEE
14 years 3 months ago
Using Multiple Grid Resources for Bioinformatics Applications in GADU
During the past decade, the scientific community has witnessed the rapid accumulation of gene sequence data and data related to physiology and biochemistry of organisms. Bioinform...
Dinanath Sulakhe, Alex Rodriguez, Michael Wilde, I...