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CVPR
2010
IEEE
14 years 3 months ago
Efficient Piecewise Learning for Conditional Random Fields
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
Karteek Alahari, Phil Torr
ICC
2007
IEEE
142views Communications» more  ICC 2007»
14 years 1 months ago
Energy efficiency of MIMO-based Sensor Networks with a Cooperative Node Selection Algorithm
– Low-cost and low-power sensor nodes forming Wireless Sensor Networks (WSNs) have become suitable for a wide range of applications during recent years. These networks, due to th...
George N. Bravos, Athanasios G. Kanatas
ICDAR
2007
IEEE
13 years 9 months ago
Example-Based Logical Labeling of Document Title Page Images
This paper presents a flexible and effective examplebased approach for labeling title pages which can be used for automated extraction of bibliographic data. The labels of intere...
Joost van Beusekom, Daniel Keysers, Faisal Shafait...
IPCO
2008
118views Optimization» more  IPCO 2008»
13 years 9 months ago
Constraint Orbital Branching
Orbital branching is a method for branching on variables in integer programming that reduces the likelihood of evaluating redundant, isomorphic nodes in the branch-and-bound proce...
James Ostrowski, Jeff Linderoth, Fabrizio Rossi, S...
SPLC
2007
13 years 8 months ago
Feature Diagrams and Logics: There and Back Again
Feature modeling is a notation and an approach for modeling commonality and variability in product families. In their basic form, feature models contain mandatory/optional feature...
Krzysztof Czarnecki, Andrzej Wasowski