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» Combinatorial Markov Random Fields
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262
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CVPR
2009
IEEE
16 years 10 months ago
Global Connectivity Potentials for Random Field Models
Markov random field (MRF, CRF) models are popular in computer vision. However, in order to be computationally tractable they are limited to incorporate only local interactions a...
Sebastian Nowozin, Christoph H. Lampert

Publication
281views
17 years 3 months ago
Modeling Image Textures by Gibbs Random Fields
Drawbacks of the traditional scenario of image modeling by Gibbs random fields with multiple pairwise pixel interactions are outlined, and a more reasonable alternative scenario b...
Georgy Gimel'farb
116
Voted
CORR
2008
Springer
107views Education» more  CORR 2008»
15 years 3 months ago
Maximum Entropy Rate of Markov Sources for Systems With Non-regular Constraints
Using the concept of discrete noiseless channels, it was shown by Shannon in A Mathematical Theory of Communication that the ultimate performance of an encoder for a constrained sy...
Georg Böcherer, Valdemar Cardoso da Rocha Jr....
146
Voted
ATAL
2007
Springer
15 years 9 months ago
Conditional random fields for activity recognition
Activity recognition is a key component for creating intelligent, multi-agent systems. Intrinsically, activity recognition is a temporal classification problem. In this paper, we...
Douglas L. Vail, Manuela M. Veloso, John D. Laffer...
147
Voted
SIGIR
2003
ACM
15 years 8 months ago
Table extraction using conditional random fields
The ability to find tables and extract information from them is a necessary component of data mining, question answering, and other information retrieval tasks. Documents often c...
David Pinto, Andrew McCallum, Xing Wei, W. Bruce C...