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» Problem formulation as the reduction of a decision model
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ECCV
2008
Springer
14 years 9 months ago
Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
Jerod J. Weinman, Lam Tran, Christopher J. Pal
CONCUR
2011
Springer
12 years 7 months ago
Reasoning about Threads with Bounded Lock Chains
The problem of model checking threads interacting purely via the standard synchronization primitives is key for many concurrent program analyses, particularly dataflow analysis. U...
Vineet Kahlon
SSIAI
2000
IEEE
13 years 12 months ago
A New Bayesian Relaxation Framework for the Estimation and Segmentation of Multiple Motions
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
Alexander Strehl, Jake K. Aggarwal
ML
2008
ACM
101views Machine Learning» more  ML 2008»
13 years 7 months ago
On reoptimizing multi-class classifiers
Significant changes in the instance distribution or associated cost function of a learning problem require one to reoptimize a previously-learned classifier to work under new cond...
Chris Bourke, Kun Deng, Stephen D. Scott, Robert E...
TVLSI
2008
176views more  TVLSI 2008»
13 years 7 months ago
A Fuzzy Optimization Approach for Variation Aware Power Minimization During Gate Sizing
Abstract--Technology scaling in the nanometer era has increased the transistor's susceptibility to process variations. The effects of such variations are having a huge impact ...
Venkataraman Mahalingam, N. Ranganathan, J. E. Har...