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» Using Probabilistic Information in Data Integration
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COLING
2000
13 years 9 months ago
Word Sense Disambiguation of Adjectives Using Probabilistic Networks
In this paper, word sense dismnbiguation (WSD) accuracy achievable by a probabilistic classifier, using very milfimal training sets, is investigated. \Ve made the assuml)tiou that...
Gerald Chao, Michael G. Dyer
TMI
2011
147views more  TMI 2011»
13 years 2 months ago
Labeling of Lumbar Discs Using Both Pixel- and Object-Level Features With a Two-Level Probabilistic Model
Abstract—Backbone anatomical structure detection and labeling is a necessary step for various analysis tasks of the vertebral column. Appearance, shape and geometry measurements ...
Raja' S. Alomari, Jason J. Corso, Vipin Chaudhary
ICCV
1998
IEEE
14 years 9 months ago
Visual Motion Estimation and Prediction: A Probabilistic Network Model for Temporal Coherence
We develop a theory for the temporal integration of visual motion motivated by psychophysical experiments. The theory proposes that input data are temporally grouped and used to p...
Alan L. Yuille, Pierre-Yves Burgi, Norberto M. Grz...
KI
1999
Springer
13 years 12 months ago
Computing Probabilistic Least Common Subsumers in Description Logics
Computing least common subsumers in description logics is an important reasoning service useful for a number of applications. As shown in the literature, it can, for instance, be u...
Thomas Mantay, Ralf Möller, Alissa Kaplunova
ISCA
1999
IEEE
187views Hardware» more  ISCA 1999»
13 years 12 months ago
Area Efficient Architectures for Information Integrity in Cache Memories
Information integrity in cache memories is a fundamental requirement for dependable computing. Conventional architectures for enhancing cache reliability using check codes make it...
Seongwoo Kim, Arun K. Somani