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PLDI
2012
ACM
13 years 9 months ago
Speculative linearizability
Linearizability is a key design methodology for reasoning about tations of concurrent abstract data types in both shared memory and message passing systems. It provides the illusi...
Rachid Guerraoui, Viktor Kuncak, Giuliano Losa
SODA
2012
ACM
253views Algorithms» more  SODA 2012»
13 years 9 months ago
Kernelization of packing problems
Kernelization algorithms are polynomial-time reductions from a problem to itself that guarantee their output to have a size not exceeding some bound. For example, d-Set Matching f...
Holger Dell, Dániel Marx
CVPR
2001
IEEE
16 years 8 months ago
Optimal Adaptive Learning for Image Retrieval
Learning-enhanced relevance feedback is one of the most promising and active research directions in recent year's content-based image retrieval. However, the existing approac...
Tao Wang, Yong Rui, Shi-Min Hu
CVPR
2007
IEEE
16 years 8 months ago
Objects in Action: An Approach for Combining Action Understanding and Object Perception
Analysis of videos of human-object interactions involves understanding human movements, locating and recognizing objects and observing the effects of human movements on those obje...
Abhinav Gupta, Larry S. Davis
ICPR
2006
IEEE
16 years 7 months ago
Boosted Markov Chain Monte Carlo Data Association for Multiple Target Detection and Tracking
In this paper, we present a probabilistic framework for automatic detection and tracking of objects. We address the data association problem by formulating the visual tracking as ...
Bo Wu, Gérard G. Medioni, Isaac Cohen, Qian...