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» Document Retrieval using a Probabilistic Knowledge Model
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MM
2003
ACM
132views Multimedia» more  MM 2003»
15 years 3 months ago
On image auto-annotation with latent space models
Image auto-annotation, i.e., the association of words to whole images, has attracted considerable attention. In particular, unsupervised, probabilistic latent variable models of t...
Florent Monay, Daniel Gatica-Perez
WETICE
2007
IEEE
15 years 4 months ago
Coordinating Knowledge in Pervasive Environments
A new application of tuple-space-based coordination systems is in knowledge communication and representation. This knowledge is being published on the Web (the so-called “Semant...
Lyndon J. B. Nixon, Robert Tolksdorf, Alan Wood, R...
RSKT
2009
Springer
15 years 4 months ago
Learning Optimal Parameters in Decision-Theoretic Rough Sets
A game-theoretic approach for learning optimal parameter values for probabilistic rough set regions is presented. The parameters can be used to define approximation regions in a p...
Joseph P. Herbert, Jingtao Yao
DASFAA
2009
IEEE
253views Database» more  DASFAA 2009»
15 years 1 months ago
Implementing and Optimizing Fine-Granular Lock Management for XML Document Trees
Abstract. Fine-grained lock protocols with lock modes and lock granules adjusted to the various XML processing models, allow for highly concurrent transaction processing on XML tre...
Sebastian Bächle, Theo Härder, Michael P...
ECAI
1990
Springer
15 years 2 months ago
Knowledge-Intensive Case-Based Reasoning and Sustained Learning
In case-based reasoning (CBR) a problem is solved by matching the problem description to a previously solved case, using the past solution in solving the new problem. A case-based...
Agnar Aamodt