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» A Guided Monte Carlo Approach to Optimization Problems
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TIP
2010
155views more  TIP 2010»
13 years 6 months ago
Laplacian Regularized D-Optimal Design for Active Learning and Its Application to Image Retrieval
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...
Xiaofei He
AI
2001
Springer
14 years 4 days ago
Stratified Partial-Order Logic Programming
The stable semantics has become a prime candidate for knowledge representation and reasoning. The rules associated with propositional logic programs and the stable semantics are no...
Mauricio Osorio, Juan Carlos Nieves
EDBT
2011
ACM
281views Database» more  EDBT 2011»
13 years 4 hour ago
Fast and accurate computation of equi-depth histograms over data streams
Equi-depth histograms represent a fundamental synopsis widely used in both database and data stream applications, as they provide the cornerstone of many techniques such as query ...
Hamid Mousavi, Carlo Zaniolo
SENSYS
2005
ACM
14 years 2 months ago
Intelligent light control using sensor networks
Increasing user comfort and reducing operation costs have always been two primary objectives of building operations and control strategies. Current building control strategies are...
Vipul Singhvi, Andreas Krause, Carlos Guestrin, Ja...
CVPR
2008
IEEE
14 years 10 months ago
Conditional density learning via regression with application to deformable shape segmentation
Many vision problems can be cast as optimizing the conditional probability density function p(C|I) where I is an image and C is a vector of model parameters describing the image. ...
Jingdan Zhang, Shaohua Kevin Zhou, Dorin Comaniciu...