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KBSE
2010
IEEE
14 years 8 months ago
Variability modeling in the real: a perspective from the operating systems domain
Variability models represent the common and variable features of products in a product line. Several variability modeling languages have been proposed in academia and industry; ho...
Thorsten Berger, Steven She, Rafael Lotufo, Andrze...
99
Voted
CVPR
2009
IEEE
16 years 4 months ago
Minimizing Sparse Higher Order Energy Functions of Discrete Variables
Higher order energy functions have the ability to encode high level structural dependencies between pixels, which have been shown to be extremely powerful for image labeling pro...
Carsten Rother (Microsoft Research Cambridge), Pus...
SAT
2010
Springer
158views Hardware» more  SAT 2010»
15 years 1 months ago
Dynamic Scoring Functions with Variable Expressions: New SLS Methods for Solving SAT
Abstract. We introduce a new conceptual model for representing and designing Stochastic Local Search (SLS) algorithms for the propositional satisfiability problem (SAT). Our model...
Dave A. D. Tompkins, Holger H. Hoos
MODELS
2009
Springer
15 years 4 months ago
Weaving Variability into Domain Metamodels
A Domain-Specific Modeling Language (DSMLs) describes the concepts and their relationships of a particular domain, in a metamodel. Using a DSML, it is possible to describe a wide ...
Brice Morin, Gilles Perrouin, Philippe Lahire, Oli...
ECML
2005
Springer
15 years 3 months ago
U-Likelihood and U-Updating Algorithms: Statistical Inference in Latent Variable Models
Abstract. In this paper we consider latent variable models and introduce a new U-likelihood concept for estimating the distribution over hidden variables. One can derive an estimat...
JaeMo Sung, Sung Yang Bang, Seungjin Choi, Zoubin ...