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» An ACO Algorithm for the Most Probable Explanation Problem
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NIPS
1997
13 years 8 months ago
Bayesian Model of Surface Perception
Image intensity variations can result from several different object surface effects, including shading from 3-dimensional relief of the object, or paint on the surface itself. An ...
William T. Freeman, Paul A. Viola
ICDM
2008
IEEE
90views Data Mining» more  ICDM 2008»
14 years 1 months ago
Finding Alternative Clusterings Using Constraints
1 The aim of data mining is to find novel and actionable insights. However, most algorithms typically just find a single explanation of the data even though alternatives could e...
Ian Davidson, Zijie Qi
BMCBI
2005
152views more  BMCBI 2005»
13 years 7 months ago
Improved profile HMM performance by assessment of critical algorithmic features in SAM and HMMER
Background: Profile hidden Markov model (HMM) techniques are among the most powerful methods for protein homology detection. Yet, the critical features for successful modelling ar...
Markus Wistrand, Erik L. L. Sonnhammer
SIGDIAL
2010
13 years 5 months ago
Probabilistic Ontology Trees for Belief Tracking in Dialog Systems
We introduce a novel approach for robust belief tracking of user intention within a spoken dialog system. The space of user intentions is modeled by a probabilistic extension of t...
Neville Mehta, Rakesh Gupta, Antoine Raux, Deepak ...
CVPR
2009
IEEE
1866views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Understanding and evaluating blind deconvolution algorithms
Blind deconvolution is the recovery of a sharp version of a blurred image when the blur kernel is unknown. Recent algorithms have afforded dramatic progress, yet many aspects of...
Anat Levin, Yair Weiss, Frédo Durand, Willi...