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» Decision Detection Using Hierarchical Graphical Models
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ATAL
2008
Springer
13 years 10 months ago
Expediting RL by using graphical structures
The goal of Reinforcement learning (RL) is to maximize reward (minimize cost) in a Markov decision process (MDP) without knowing the underlying model a priori. RL algorithms tend ...
Peng Dai, Alexander L. Strehl, Judy Goldsmith
3DIM
2003
IEEE
14 years 1 months ago
Adaptive Enhancement of 3D Scenes using Hierarchical Registration of Texture-Mapped 3D models
Adaptive fusion of new information in a 3D urban scene is an important goal to achieve in computer vision, graphics, and visualization. In this work we acquire new image pairs of ...
Srikumar Ramalingam, Suresh K. Lodha
DBKDA
2010
IEEE
219views Database» more  DBKDA 2010»
13 years 8 months ago
GN-DTD: Graphical Notations for Describing XML Documents
— This paper presents a graphical approach to model XML documents based on a Data Type Documentation called Graphical Notations-Data Type Documentation (GN-DTD). GN-DTD allows us...
Zurinahni Zainol, Bing Wang
SIGMOD
2007
ACM
196views Database» more  SIGMOD 2007»
14 years 8 months ago
GPUQP: query co-processing using graphics processors
We present GPUQP, a relational query engine that employs both CPUs and GPUs (Graphics Processing Units) for in-memory query co-processing. GPUs are commodity processors traditiona...
Rui Fang, Bingsheng He, Mian Lu, Ke Yang, Naga K. ...
ET
2000
145views more  ET 2000»
13 years 8 months ago
Fast Test Pattern Generation for Sequential Circuits Using Decision Diagram Representations
The paper presents a novel hierarchical approach to test pattern generation for sequential circuits based on an input model of mixed-level decision diagrams. A method that handles,...
Jaan Raik, Raimund Ubar