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IJCAI
2007
13 years 6 months ago
Some Effects of a Reduced Relational Vocabulary on the Whodunit Problem
A key issue in artificial intelligence lies in finding the amount of input detail needed to do successful learning. Too much detail causes overhead and makes learning prone to ove...
Daniel T. Halstead, Kenneth D. Forbus
CVPR
2009
IEEE
14 years 11 months ago
Learning Semantic Visual Vocabularies Using Diffusion Distance
In this paper, we propose a novel approach for learning generic visual vocabulary. We use diffusion maps to au-tomatically learn a semantic visual vocabulary from ab-undant quantiz...
Jingen Liu (University of Central Florida), Yang Y...
CDC
2008
IEEE
150views Control Systems» more  CDC 2008»
13 years 11 months ago
On frame and orientation localization for relative sensing networks
We develop a novel localization theory for planar networks of nodes that measure each other’s relative position, i.e., we assume that nodes do not have the ability to perform me...
Giulia Piova, Iman Shames, Baris Fidan, Francesco ...
IAT
2010
IEEE
13 years 1 months ago
Collaborative Learning of Ontology Fragments by Co-operating Agents
Abstract--Collaborating agents require either prior agreement on the shared vocabularies that they use for communication, or some means of translating between their private ontolog...
Heather S. Packer, Nicholas Gibbins, Nicholas R. J...
LOBJET
2002
321views more  LOBJET 2002»
13 years 4 months ago
Understanding software evolution using a combination of software visualization and software metrics
Coping with huge amounts of data is one of the major problems in the context of software evolution. Current approaches reduce this complexity by filtering out irrelevant informatio...
Michele Lanza, Stéphane Ducasse