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» A Bayesian Approach to Tackling Hard Computational Problems
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ACL
2009
13 years 5 months ago
Bayesian Learning of a Tree Substitution Grammar
Tree substitution grammars (TSGs) offer many advantages over context-free grammars (CFGs), but are hard to learn. Past approaches have resorted to heuristics. In this paper, we le...
Matt Post, Daniel Gildea
TCSV
2010
13 years 2 months ago
A Hierarchical Bayesian Generation Framework for Vacant Parking Space Detection
In this paper, from the viewpoint of scene understanding, a 3-layer Bayesian hierarchical framework (BHF) is proposed for robust vacant parking space detection. In practice, the ch...
Chingchun Huang, Sheng-Jyh Wang
LSSC
2007
Springer
14 years 1 months ago
Probabilistic Model of Ant Colony Optimization for Multiple Knapsack Problem
The Ant Colony Optimization (ACO) algorithms are being applied successfully to a wide range of problems. ACO algorithms could be good alternatives to existing algorithms for hard c...
Stefka Fidanova
FPGA
2010
ACM
232views FPGA» more  FPGA 2010»
13 years 7 months ago
High-throughput bayesian computing machine with reconfigurable hardware
We use reconfigurable hardware to construct a high throughput Bayesian computing machine (BCM) capable of evaluating probabilistic networks with arbitrary DAG (directed acyclic gr...
Mingjie Lin, Ilia Lebedev, John Wawrzynek
ICIP
2002
IEEE
14 years 9 months ago
Fusion of X ray radiographic data and anatomical data in computed tomography
In this paper, we consider an X ray computed tomography (CT) image reconstruction problem using two different kinds of data: classical X-rays radiographic data and some geometrica...
Ali Mohammad-Djafari