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» LSH-preserving functions and their applications
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CVPR
2008
IEEE
14 years 12 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...
WSC
2004
13 years 11 months ago
Global Likelihood Optimization Via the Cross-Entropy Method, with an Application to Mixture Models
Global likelihood maximization is an important aspect of many statistical analyses. Often the likelihood function is highly multi-extremal. This presents a significant challenge t...
Zdravko I. Botev, Dirk P. Kroese
TIP
2010
277views more  TIP 2010»
13 years 4 months ago
Distance Regularized Level Set Evolution and Its Application to Image Segmentation
Level set methods have been widely used in image processing and computer vision. In conventional level set formulations, the level set function typically develops irregularities du...
Chunming Li, Chenyang Xu, Changfeng Gui, Martin D....
DAIS
2006
13 years 11 months ago
An Application Framework for Nomadic, Collaborative Applications
To maintain availability and responsiveness, mobile applications sharing data often work on their own copy and transmit local changes to other participants. Existing systems for re...
James O'Brien, Marc Shapiro
IEICET
2007
110views more  IEICET 2007»
13 years 9 months ago
A Higher-Order Knuth-Bendix Procedure and Its Applications
The completeness (i.e. confluent and terminating) property is an important concept when using a term rewriting system (TRS) as a computational model of functional programming lang...
Keiichirou Kusakari, Yuki Chiba