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CVPR
2009
IEEE
1081views Computer Vision» more  CVPR 2009»
17 years 1 months ago
Learning Real-Time MRF Inference for Image Denoising
Many computer vision problems can be formulated in a Bayesian framework with Markov Random Field (MRF) or Conditional Random Field (CRF) priors. Usually, the model assumes that ...
Adrian Barbu (Florida State University)
SOUPS
2009
ACM
16 years 16 days ago
Machine learning attacks against the Asirra CAPTCHA
The ASIRRA CAPTCHA [6], recently proposed at ACM CCS 2007, relies on the problem of distinguishing images of cats and dogs (a task that humans are very good at). The security of AS...
Philippe Golle
GECCO
2007
Springer
164views Optimization» more  GECCO 2007»
16 years 5 days ago
Learning building block structure from crossover failure
In the classical binary genetic algorithm, although crossover within a building block (BB) does not always cause a decrease in fitness, any decrease in fitness results from the ...
Zhenhua Li, Erik D. Goodman
FGR
2006
IEEE
121views Biometrics» more  FGR 2006»
16 years 2 days ago
Learning to Identify Facial Expression During Detection Using Markov Decision Process
While there has been a great deal of research in face detection and recognition, there has been very limited work on identifying the expression on a face. Many current face detect...
Ramana Isukapalli, Ahmed M. Elgammal, Russell Grei...
EH
2003
IEEE
100views Hardware» more  EH 2003»
15 years 11 months ago
Learning for Evolutionary Design
This paper describes a technique for evolving similar solutions to similar configuration design problems. Using the configuration design of combination logic circuits as a testb...
Sushil J. Louis