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» The Complexity of Distinguishing Markov Random Fields
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NAACL
2007
13 years 8 months ago
Worst-Case Synchronous Grammar Rules
We relate the problem of finding the best application of a Synchronous ContextFree Grammar (SCFG) rule during parsing to a Markov Random Field. This representation allows us to u...
Daniel Gildea, Daniel Stefankovic
TIP
2010
162views more  TIP 2010»
13 years 1 months ago
Multivariate Image Segmentation Using Semantic Region Growing With Adaptive Edge Penalty
Multivariate image segmentation is a challenging task, influenced by large intraclass variation that reduces class distinguishability as well as increased feature space sparseness ...
A. K. Qin, David A. Clausi
ICPR
2006
IEEE
14 years 8 months ago
Robust Image Registration Based on Markov-Gibbs Appearance Model
A new approach to align an image of a textured object with a given prototype is proposed. Visual appearance of the images, after equalizing their signals, is modeled with a Markov...
Alaa E. Abdel-Hakim, Aly A. Farag, Ayman El-Baz, G...
ICML
2004
IEEE
14 years 7 months ago
Semi-supervised learning using randomized mincuts
In many application domains there is a large amount of unlabeled data but only a very limited amount of labeled training data. One general approach that has been explored for util...
Avrim Blum, John D. Lafferty, Mugizi Robert Rweban...
ICPR
2006
IEEE
14 years 8 months ago
A Markovian Approach for Handwritten Document Segmentation
We address in this paper the problem of segmenting complex handritten pages such as novelist drafts or authorial manuscripts. We propose to use stochastic and contextual models in...
Stéphane Nicolas, Thierry Paquet, Laurent H...