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COLING
2010
13 years 3 months ago
Unsupervised phonemic Chinese word segmentation using Adaptor Grammars
Adaptor grammars are a framework for expressing and performing inference over a variety of non-parametric linguistic models. These models currently provide state-of-the-art perfor...
Mark Johnson, Katherine Demuth
ICASSP
2011
IEEE
13 years 15 days ago
Covariate-dependent dictionary learning and sparse coding
A dependent hierarchical beta process (dHBP) is developed as a prior for data that may be represented in terms of a sparse set of latent features (dictionary elements), with covar...
Mingyuan Zhou, Hongxia Yang, Guillermo Sapiro, Dav...
AUSAI
2009
Springer
14 years 3 months ago
Information-Theoretic Image Reconstruction and Segmentation from Noisy Projections
The minimum message length (MML) principle for inductive inference has been successfully applied to image segmentation where the images are modelled by Markov random fields (MRF)....
Gerhard Visser, David L. Dowe, Imants D. Svalbe
ISIPTA
1999
IEEE
103views Mathematics» more  ISIPTA 1999»
14 years 1 months ago
A Review of Propagation Algorithms for Imprecise Probabilities
This paper reviews algorithms for local computation with imprecise probabilities. These algorithms try to solve problems of inference calculation of conditional or unconditional p...
Andrés Cano, Serafín Moral
FSTTCS
1998
Springer
14 years 1 months ago
A Synchronous Semantics of Higher-Order Processes for Modeling Reconfigurable Reactive Systems
Abstract. Synchronous languages are well suited for the design of dependable real-time systems: they enable a very high-level specification and an extremely modular implementation ...
Jean-Pierre Talpin, David Nowak