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CVPR
2012
IEEE
11 years 10 months ago
A tiered move-making algorithm for general pairwise MRFs
A large number of problems in computer vision can be modeled as energy minimization problems in a markov random field (MRF) framework. Many methods have been developed over the y...
Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr
SIGIR
2008
ACM
13 years 8 months ago
Learning from labeled features using generalized expectation criteria
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
Gregory Druck, Gideon S. Mann, Andrew McCallum
SIAMIS
2010
283views more  SIAMIS 2010»
13 years 3 months ago
A General Framework for a Class of First Order Primal-Dual Algorithms for Convex Optimization in Imaging Science
We generalize the primal-dual hybrid gradient (PDHG) algorithm proposed by Zhu and Chan in [M. Zhu, and T. F. Chan, An Efficient Primal-Dual Hybrid Gradient Algorithm for Total Var...
Ernie Esser, Xiaoqun Zhang, Tony F. Chan
NETWORKING
2008
13 years 9 months ago
Thorough Analysis of 802.11e Star Topology Scenarios in the Presence of Hidden Nodes
In this paper the authors present a simulation study of two 802.11e network scenarios. The presented analysis is not only novel but most of all crucial for understanding how a theo...
Katarzyna Kosek, Marek Natkaniec, Luca Vollero
LWA
2007
13 years 9 months ago
Semantic Perspectives on Knowledge Management and E-Learning
Knowledge Management (KM) and E-Learning (EL) applications interface more and more as their objects of concern consist in ’captured knowledge’ resp. ’learning objects’, i....
Andrea Kohlhase