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» Using Probabilistic Information in Data Integration
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COLING
2000
15 years 3 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»
14 years 9 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
16 years 3 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
15 years 6 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»
15 years 6 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