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NECO
2007
127views more  NECO 2007»
14 years 11 months ago
Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning
We present a hierarchical architecture and learning algorithm for visual recognition and other visual inference tasks such as imagination, reconstruction of occluded images, and e...
Joseph F. Murray, Kenneth Kreutz-Delgado
TITS
2011
165views more  TITS 2011»
14 years 6 months ago
Robust Inference of Principal Road Paths for Intelligent Transportation Systems
Abstract—Over the last few years, electronic vehicle guidance systems have become increasingly more popular. However, despite their ubiquity, performance will always be subject t...
Gabriel Agamennoni, Juan Nieto, Eduardo Mario Nebo...
IEEEICCI
2003
IEEE
15 years 5 months ago
Mixing Semantic Networks and Conceptual Vectors: The Case of Hyperonymy
In this paper, we focus on lexical semantics, a key issue in Natural Language Processing (NLP) that tends to converge with conceptual Knowledge Representation (KR) and ontologies....
Violaine Prince, Mathieu Lafourcade
IJMSO
2006
105views more  IJMSO 2006»
14 years 12 months ago
Trust network-based filtering of aggregated claims
: On the semantic web, assertions may be aggregated from many sources, those aggregations filtered, reasoned over, aggregated with other aggregators, displayed, scraped, extracted,...
Jennifer Golbeck, Bijan Parsia
ICCS
2009
Springer
15 years 6 months ago
Distinguishing Answers in Conceptual Graph Knowledge Bases
Abstract. In knowledge bases, the open world assumption and the ability to express variables may lead to an answer redundancy problem. This problem occurs when the returned answers...
Nicolas Moreau, Michel Leclère, Madalina Cr...