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NIPS
2004
15 years 21 days ago
Harmonising Chorales by Probabilistic Inference
We describe how we used a data set of chorale harmonisations composed by Johann Sebastian Bach to train Hidden Markov Models. Using a probabilistic framework allows us to create a...
Moray Allan, Christopher K. I. Williams
ECCV
1998
Springer
16 years 1 months ago
A Probabilistic Approach to Object Recognition Using Local Photometry and Global Geometry
Many object classes, including human faces, can be modeled as a set of characteristic parts arranged in a variable spatial con guration. We introduce a simpli ed model of a deforma...
Michael C. Burl, Markus Weber, Pietro Perona
CONCUR
1997
Springer
15 years 3 months ago
Probabilistic Concurrent Constraint Programming
Abstract. We extend cc to allow the specification of a discrete probability distribution for random variables. We demonstrate the expressiveness of pcc by synthesizing combinators...
Vineet Gupta, Radha Jagadeesan, Vijay A. Saraswat
ICDM
2007
IEEE
153views Data Mining» more  ICDM 2007»
15 years 5 months ago
HSN-PAM: Finding Hierarchical Probabilistic Groups from Large-Scale Networks
Real-world social networks are often hierarchical, reflecting the fact that some communities are composed of a few smaller, sub-communities. This paper describes a hierarchical B...
Haizheng Zhang, Wei Li, Xuerui Wang, C. Lee Giles,...
FSTTCS
2000
Springer
15 years 2 months ago
Dynamically Ordered Probabilistic Choice Logic Programming
We present a framework for decision making under uncertainty where the priorities of the alternatives can depend on the situation at hand. We design a logic-programming language, D...
Marina De Vos, Dirk Vermeir