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NIPS
2007
15 years 5 months ago
The discriminant center-surround hypothesis for bottom-up saliency
The classical hypothesis, that bottom-up saliency is a center-surround process, is combined with a more recent hypothesis that all saliency decisions are optimal in a decision-the...
Dashan Gao, Vijay Mahadevan, Nuno Vasconcelos
137
Voted
AIPS
2009
15 years 4 months ago
Efficient Solutions to Factored MDPs with Imprecise Transition Probabilities
When modeling real-world decision-theoretic planning problems in the Markov decision process (MDP) framework, it is often impossible to obtain a completely accurate estimate of tr...
Karina Valdivia Delgado, Scott Sanner, Leliane Nun...
136
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BMCBI
2007
160views more  BMCBI 2007»
15 years 3 months ago
Convergent algorithms for protein structural alignment
Background: Many algorithms exist for protein structural alignment, based on internal protein coordinates or on explicit superposition of the structures. These methods are usually...
Leandro Martínez, Roberto Andreani, Jos&eac...
121
Voted
CORR
2006
Springer
109views Education» more  CORR 2006»
15 years 3 months ago
On Conditional Branches in Optimal Decision Trees
The decision tree is one of the most fundamental ing abstractions. A commonly used type of decision tree is the alphabetic binary tree, which uses (without loss of generality) &quo...
Michael B. Baer
146
Voted
DATAMINE
2006
164views more  DATAMINE 2006»
15 years 3 months ago
Fast Distributed Outlier Detection in Mixed-Attribute Data Sets
Efficiently detecting outliers or anomalies is an important problem in many areas of science, medicine and information technology. Applications range from data cleaning to clinica...
Matthew Eric Otey, Amol Ghoting, Srinivasan Partha...
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