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» Decision Making Using Probabilistic Inference Methods
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ML
2006
ACM
15 years 4 months ago
Using duration models to reduce fragmentation in audio segmentation
We investigate explicit segment duration models in addressing the problem of fragmentation in musical audio segmentation. The resulting probabilistic models are optimised using Mar...
Samer A. Abdallah, Mark B. Sandler, Christophe Rho...
ICCV
2007
IEEE
16 years 6 months ago
Object Localisation Using Generative Probability Model for Spatial Constellation and Local Image Features
In this paper we apply state-of-the-art approach to object detection and localisation by incorporating local descriptors and their spatial configuration into a generative probabil...
Joni-Kristian Kamarainen, Miroslav Hamouz, Josef K...
IJCAI
2003
15 years 5 months ago
Bayesian Information Extraction Network
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
Leonid Peshkin, Avi Pfeffer
ISCAS
2003
IEEE
122views Hardware» more  ISCAS 2003»
15 years 9 months ago
Reducing the number of variable movements in exact BDD minimization
Ordered Binary Decision Diagrams (BDDs) are frequently used in logic synthesis. In this paper a new exact BDD minimization algorithm is presented, which is based on state space se...
Rüdiger Ebendt
GECCO
2005
Springer
189views Optimization» more  GECCO 2005»
15 years 10 months ago
Molecular programming: evolving genetic programs in a test tube
We present a molecular computing algorithm for evolving DNA-encoded genetic programs in a test tube. The use of synthetic DNA molecules combined with biochemical techniques for va...
Byoung-Tak Zhang, Ha-Young Jang