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» Probabilistic Declarative Information Extraction
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MM
2000
ACM
166views Multimedia» more  MM 2000»
13 years 12 months ago
Automatically extracting highlights for TV Baseball programs
In today’s fast-paced world, while the number of channels of television programming available is increasing rapidly, the time available to watch them remains the same or is decr...
Yong Rui, Anoop Gupta, Alex Acero
FLAIRS
2004
13 years 9 months ago
Towards a Universal Web Wrapper
The wealth of information contained in the world-wide web has created much interest in systems for integrating information from multiple sites. We describe a universal wrapper mac...
Theodore W. Hong, Keith L. Clark
IJON
2007
83views more  IJON 2007»
13 years 7 months ago
Neurospaces: Towards automated model partitioning for parallel computers
Parallel computers have the computing power needed to simulate biologically accurate neuronal network models. Partitioning is the process of cutting a model in pieces and assignin...
Hugo Cornelis, Erik De Schutter
WWW
2002
ACM
14 years 8 months ago
Probabilistic query expansion using query logs
Query expansion has long been suggested as an effective way to resolve the short query and word mismatching problems. A number of query expansion methods have been proposed in tra...
Hang Cui, Ji-Rong Wen, Jian-Yun Nie, Wei-Ying Ma
ROMAN
2007
IEEE
179views Robotics» more  ROMAN 2007»
14 years 1 months ago
A Bayesian Network Framework for Vision Based Semantic Scene Understanding
— For a robot to understand a scene, we have to infer and extract meaningful information from vision sensor data. Since scene understanding consists in recognizing several visual...
Seung-Bin Im, Keum-Sung Hwang, Sung-Bae Clio