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» Variational methods for Reinforcement Learning
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ICCV
2007
IEEE
14 years 18 days ago
Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval
Given a query image of an object, our objective is to retrieve all instances of that object in a large (1M+) image database. We adopt the bag-of-visual-words architecture which ha...
Ondrej Chum, James Philbin, Josef Sivic, Michael I...
GECCO
2010
Springer
158views Optimization» more  GECCO 2010»
13 years 9 months ago
Efficiently evolving programs through the search for novelty
A significant challenge in genetic programming is premature convergence to local optima, which often prevents evolution from solving problems. This paper introduces to genetic pro...
Joel Lehman, Kenneth O. Stanley
NIPS
2004
13 years 7 months ago
Probabilistic Inference of Alternative Splicing Events in Microarray Data
Alternative splicing (AS) is an important and frequent step in mammalian gene expression that allows a single gene to specify multiple products, and is crucial for the regulation ...
Ofer Shai, Brendan J. Frey, Quaid Morris, Qun Pan,...
BMCBI
2006
142views more  BMCBI 2006»
13 years 6 months ago
Improving the Performance of SVM-RFE to Select Genes in Microarray Data
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
Yuanyuan Ding, Dawn Wilkins
CGF
2007
112views more  CGF 2007»
13 years 6 months ago
Shape-aware Volume Illustration
We introduce a novel volume illustration technique for regularly sampled volume datasets. The fundamental difference between previous volume illustration algorithms and ours is th...
Wei Chen, Aidong Lu, David S. Ebert