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IVC
2006
120views more  IVC 2006»
14 years 10 months ago
Face recognition by fusing thermal infrared and visible imagery
Thermal infrared (IR) imagery offers a promising alternative to visible imagery for face recognition due to its relative insensitive to variations in face appearance caused by ill...
George Bebis, Aglika Gyaourova, Saurabh Singh, Ioa...
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 1 months ago
String transformation-based Bayesian classification or proteins
We describe a Markov chain Bayesian classification tool, SCS, that can perform data-driven classification of proteins and protein segments. Training data for interesting classific...
Timothy Meekhof, Gary W. Daughdrill, Robert B. Hec...
86
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BMCBI
2008
160views more  BMCBI 2008»
14 years 10 months ago
Feature selection environment for genomic applications
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
Fabrício Martins Lopes, David Correa Martin...
ICDAR
1999
IEEE
15 years 2 months ago
A Two-state Markov Chain Model of Degraded Document Images
We propose a two-state Markov chain model of degraded document images. The model generates random and burst noise to simulate isolated pixel reversal as well as blurring of a larg...
Shamik Sural, P. K. Das
WSDM
2010
ACM
242views Data Mining» more  WSDM 2010»
15 years 7 months ago
Improving Ad Relevance in Sponsored Search
We describe a machine learning approach for predicting sponsored search ad relevance. Our baseline model incorporates basic features of text overlap and we then extend the model t...
Dustin Hillard, Stefan Schroedl, Eren Manavoglu, H...