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VMCAI
2009
Springer
14 years 3 months ago
SubPolyhedra: A (More) Scalable Approach to Infer Linear Inequalities
Abstract. We introduce Subpolyhedra (SubPoly) a new numerical abstract domain to infer and propagate linear inequalities. SubPoly is as expressive as Polyhedra, but it drops some o...
Vincent Laviron, Francesco Logozzo
ACCV
2007
Springer
14 years 3 months ago
Coarse-to-Fine Statistical Shape Model by Bayesian Inference
In this paper, we take a predefined geometry shape as a constraint for accurate shape alignment. A shape model is divided in two parts: fixed shape and active shape. The fixed shap...
Ran He, Stan Z. Li, Zhen Lei, ShengCai Liao
WABI
2007
Springer
109views Bioinformatics» more  WABI 2007»
14 years 3 months ago
A Novel Method for Signal Transduction Network Inference from Indirect Experimental Evidence
In this paper we introduce a new method of combined synthesis and inference of biological signal transduction networks. A main idea of our method lies in representing observed cau...
Réka Albert, Bhaskar DasGupta, Riccardo Don...
CPM
2010
Springer
120views Combinatorics» more  CPM 2010»
14 years 1 months ago
Mod/Resc Parsimony Inference
Abstract. We address in this paper a new computational biology problem that aims at understanding a mechanism that could potentially be used to genetically manipulate natural insec...
Igor Nor, Danny Hermelin, Sylvain Charlat, Jan Eng...
NIPS
2007
13 years 10 months ago
Distributed Inference for Latent Dirichlet Allocation
We investigate the problem of learning a widely-used latent-variable model – the Latent Dirichlet Allocation (LDA) or “topic” model – using distributed computation, where ...
David Newman, Arthur Asuncion, Padhraic Smyth, Max...