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» On the Use of Virtual Evidence in Conditional Random Fields
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ECCV
2010
Springer
14 years 1 months ago
On Parameter Learning in CRF-based Approaches to Object Class Image Segmentation
Recent progress in per-pixel object class labeling of natural images can be attributed to the use of multiple types of image features and sound statistical learning approaches. Wit...
PAMI
2010
174views more  PAMI 2010»
13 years 7 months ago
Image Segmentation with a Unified Graphical Model
—We propose a unified graphical model that can represent both the causal and noncausal relationships among random variables and apply it to the image segmentation problem. Specif...
Lei Zhang 0011, Qiang Ji
JMLR
2010
165views more  JMLR 2010»
13 years 3 months ago
Learning with Blocks: Composite Likelihood and Contrastive Divergence
Composite likelihood methods provide a wide spectrum of computationally efficient techniques for statistical tasks such as parameter estimation and model selection. In this paper,...
Arthur Asuncion, Qiang Liu, Alexander T. Ihler, Pa...
ISMVL
2009
IEEE
107views Hardware» more  ISMVL 2009»
14 years 3 months ago
Regular Encodings from Max-CSP into Partial Max-SAT
We define a number of original encodings, called regular encodings, that map Max-CSP instances into Partial MaxSAT instances. First, we obtain new direct and (minimal) support en...
Josep Argelich, Alba Cabiscol, Inês Lynce, F...
GECCO
2005
Springer
151views Optimization» more  GECCO 2005»
14 years 2 months ago
Backward-chaining genetic programming
Tournament selection is the most frequently used form of selection in genetic programming (GP). Tournament selection chooses individuals uniformly at random from the population. A...
Riccardo Poli, William B. Langdon