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» Learning By Observation Using Qualitative Spatial Relations
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JUCS
2002
84views more  JUCS 2002»
13 years 7 months ago
The Design of an Object-based System for Representing and Classifying Spatial Structures and Relations
: Our work is concerned with the design of a knowledge-based system for recognizing agricultural landscape models on land-use maps. Landscape models are defined as sets of spatial ...
Florence Le Ber, Amedeo Napoli
UAI
1996
13 years 9 months ago
A Qualitative Markov Assumption and Its Implications for Belief Change
The study of belief change has been an active area in philosophy and AI. In recent years, two special cases of belief change, belief revision and belief update, have been studied ...
Nir Friedman, Joseph Y. Halpern
GIS
2010
ACM
13 years 6 months ago
Decentralized querying of topological relations between regions without using localization
This paper proposes an efficient, decentralized algorithm for determining the topological relationship between two regions monitored by a geosensor network. Many centralized algo...
Matt Duckham, Myeong Hun Jeong, Sanjiang Li, Joche...
PRL
2006
129views more  PRL 2006»
13 years 7 months ago
Learning spatial relations in object recognition
This paper studies two types of spatial relationships that can be learned from training examples for object recognition. The first one employs deformable relationships between obj...
Thang V. Pham, Arnold W. M. Smeulders
AAAI
2007
13 years 10 months ago
A Robot That Uses Existing Vocabulary to Infer Non-Visual Word Meanings from Observation
The authors present TWIG, a visually grounded wordlearning system that uses its existing knowledge of vocabulary, grammar, and action schemas to help it learn the meanings of new ...
Kevin Gold, Brian Scassellati