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CVPR
2009
IEEE
16 years 6 months ago
Minimizing Sparse Higher Order Energy Functions of Discrete Variables
Higher order energy functions have the ability to encode high level structural dependencies between pixels, which have been shown to be extremely powerful for image labeling pro...
Carsten Rother (Microsoft Research Cambridge), Pus...
CVPR
2010
IEEE
15 years 7 months ago
Energy Minimization for Linear Envelope MRFs
Markov random fields with higher order potentials have emerged as a powerful model for several problems in computer vision. In order to facilitate their use, we propose a new rep...
Pushmeet Kohli, M. Pawan Kumar
CVPR
2009
IEEE
16 years 6 months ago
Alphabet SOUP: A Framework for Approximate Energy Minimization
Many problems in computer vision can be modeled using conditional Markov random fields (CRF). Since finding the maximum a posteriori (MAP) solution in such models is NP-hard, mu...
Stephen Gould (Stanford University), Fernando Amat...
CORR
2008
Springer
87views Education» more  CORR 2008»
14 years 11 months ago
Green Codes: Energy-Efficient Short-Range Communication
Abstract-- A green code attempts to minimize the total energy per-bit required to communicate across a noisy channel. The classical information-theoretic approach neglects the ener...
Pulkit Grover, Anant Sahai
INFOCOM
2008
IEEE
15 years 6 months ago
Which Distributed Averaging Algorithm Should I Choose for my Sensor Network?
Average consensus and gossip algorithms have recently received significant attention, mainly because they constitute simple and robust algorithms for distributed information proc...
Patrick Denantes, Florence Bénézit, ...