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ECCV
2008
Springer
15 years 8 months ago
Unsupervised Classification and Part Localization by Consistency Amplification
We present a novel method for unsupervised classification, including the discovery of a new category and precise object and part localization. Given a set of unlabelled images, som...
Leonid Karlinsky, Michael Dinerstein, Dan Levi, Sh...
ICCV
2007
IEEE
16 years 9 months ago
Capacity Scaling for Graph Cuts in Vision
Capacity scaling is a hierarchical approach to graph representation that can improve theoretical complexity and practical efficiency of max-flow/min-cut algorithms. Introduced by ...
Olivier Juan, Yuri Boykov
CVPR
2012
IEEE
13 years 9 months ago
A tiered move-making algorithm for general pairwise MRFs
A large number of problems in computer vision can be modeled as energy minimization problems in a markov random field (MRF) framework. Many methods have been developed over the y...
Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr
ICS
2003
Tsinghua U.
16 years 7 days ago
Estimating cache misses and locality using stack distances
Cache behavior modeling is an important part of modern optimizing compilers. In this paper we present a method to estimate the number of cache misses, at compile time, using a mac...
Calin Cascaval, David A. Padua
TON
2002
144views more  TON 2002»
15 years 6 months ago
Algorithms for provisioning virtual private networks in the hose model
Virtual Private Networks (VPNs) provide customers with predictable and secure network connections over a shared network. The recently proposed hose model for VPNs allows for great...
Amit Kumar, Rajeev Rastogi, Abraham Silberschatz, ...