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CVPR
2011
IEEE
13 years 4 months ago
Learning Message-Passing Inference Machines for Structured Prediction
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
Stephane Ross, Daniel Munoz, J. Andrew Bagnell
SIGECOM
2009
ACM
112views ECommerce» more  SIGECOM 2009»
14 years 2 months ago
Network bargaining: algorithms and structural results
We consider models for bargaining in social networks, in which players are represented by vertices and edges represent bilateral opportunities for deals between pairs of players. ...
Tanmoy Chakraborty, Michael Kearns, Sanjeev Khanna
ICCV
2003
IEEE
14 years 9 months ago
Visual Correspondence Using Energy Minimization and Mutual Information
We address visual correspondence problems without assuming that scene points have similar intensities in different views.This situation is common, usually due to non-lambertian sc...
Junhwan Kim, Vladimir Kolmogorov, Ramin Zabih
CVPR
1998
IEEE
14 years 10 months ago
Markov Random Fields with Efficient Approximations
Markov Random Fields (MRF's) can be used for a wide variety of vision problems. In this paper we focus on MRF's with two-valued clique potentials, which form a generaliz...
Yuri Boykov, Olga Veksler, Ramin Zabih
DAC
2003
ACM
14 years 8 months ago
Embedded intelligent SRAM
Many embedded systems use a simple pipelined RISC processor for computation and an on-chip SRAM for data storage. We present an enhancement called Intelligent SRAM (ISRAM) that co...
Prabhat Jain, G. Edward Suh, Srinivas Devadas