Sciweavers

14 search results - page 1 / 3
» AnalogySpace: Reducing the Dimensionality of Common Sense Kn...
Sort
View
AAAI
2008
13 years 7 months ago
AnalogySpace: Reducing the Dimensionality of Common Sense Knowledge
We are interested in the problem of reasoning over very large common sense knowledge bases. When such a knowledge base contains noisy and subjective data, it is important to have ...
Robert Speer, Catherine Havasi, Henry Lieberman
ICANN
2007
Springer
13 years 11 months ago
A Topology-Independent Similarity Measure for High-Dimensional Feature Spaces
In the field of computer vision feature matching in high dimensional feature spaces is a commonly used technique for object recognition. One major problem is to find an adequate s...
Jochen Kerdels, Gabriele Peters
TSP
2008
151views more  TSP 2008»
13 years 5 months ago
Reduce and Boost: Recovering Arbitrary Sets of Jointly Sparse Vectors
The rapid developing area of compressed sensing suggests that a sparse vector lying in a high dimensional space can be accurately and efficiently recovered from only a small set of...
Moshe Mishali, Yonina C. Eldar
DASFAA
2004
IEEE
142views Database» more  DASFAA 2004»
13 years 9 months ago
Ontological and Pragmatic Knowledge Management for Web Service Composition
The vision of the Semantic Web is to reduce manual discovery and usage of Web resources (documents and services) and to allow intelligent agents to automatically identify these Web...
Soon Ae Chun, Yugyung Lee, James Geller
CL
2000
Springer
13 years 9 months ago
Logic, Knowledge Representation, and Bayesian Decision Theory
In this paper I give a brief overview of recent work on uncertainty inAI, and relate it to logical representations. Bayesian decision theory and logic are both normative frameworks...
David Poole