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» A Bayesian Approach to Tackling Hard Computational Problems
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ACL
2009
14 years 7 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
14 years 4 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
15 years 3 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»
14 years 9 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
15 years 11 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