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ICCV
2007
IEEE
16 years 2 months ago
Non-Parametric Probabilistic Image Segmentation
We propose a simple probabilistic generative model for image segmentation. Like other probabilistic algorithms (such as EM on a Mixture of Gaussians) the proposed model is princip...
Marco Andreetto, Lihi Zelnik-Manor, Pietro Perona
BMCBI
2004
133views more  BMCBI 2004»
15 years 14 days ago
Evaluation of several lightweight stochastic context-free grammars for RNA secondary structure prediction
Background: RNA secondary structure prediction methods based on probabilistic modeling can be developed using stochastic context-free grammars (SCFGs). Such methods can readily co...
Robin D. Dowell, Sean R. Eddy
122
Voted
ACL
2006
15 years 2 months ago
Modeling Commonality among Related Classes in Relation Extraction
This paper proposes a novel hierarchical learning strategy to deal with the data sparseness problem in relation extraction by modeling the commonality among related classes. For e...
Guodong Zhou, Jian Su, Min Zhang
140
Voted
ICLP
2005
Springer
15 years 6 months ago
Hybrid Probabilistic Logic Programs with Non-monotonic Negation
1 In [20], a new Hybrid Probabilistic Logic Programs framework is proposed, and a new semantics is developed to enable encoding and reasoning about real-world applications. In this...
Emad Saad, Enrico Pontelli
92
Voted
AIPS
2008
15 years 2 months ago
A New Probabilistic Plan Recognition Algorithm Based on String Rewriting
This document formalizes and discusses the implementation of a new, more efficient probabilistic plan recognition algorithm called Yet Another Probabilistic Plan Recognizer, (Yapp...
Christopher W. Geib, John Maraist, Robert P. Goldm...