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» Position Paper: Ontology Learning from Folksonomies
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TKDE
2008
111views more  TKDE 2008»
13 years 7 months ago
Text Clustering with Feature Selection by Using Statistical Data
Abstract-- Feature selection is an important method for improving the efficiency and accuracy of text categorization algorithms by removing redundant and irrelevant terms from the ...
Yanjun Li, Congnan Luo, Soon M. Chung
IJCV
2000
136views more  IJCV 2000»
13 years 7 months ago
A Trainable System for Object Detection
This paper presents a general, trainable system for object detection in unconstrained, cluttered scenes. The system derives much of its power from a representation that describes a...
Constantine Papageorgiou, Tomaso Poggio
ICWSM
2009
13 years 5 months ago
Seeking and Offering Expertise Across Categories: A Sustainable Mechanism Works for Baidu Knows
This paper presents the first comprehensive exploration of the largest Chinese online knowledge sharing communityBaidu Knows. With analyzing 5.2 millions questions and 2.7 million...
Jiang Yang, Xiao Wei
IJRR
2010
173views more  IJRR 2010»
13 years 2 months ago
Multi-modal Semantic Place Classification
The ability to represent knowledge about space and its position therein is crucial for a mobile robot. To this end, topological and semantic descriptions are gaining popularity fo...
Andrzej Pronobis, Óscar Martínez Moz...
TEC
2010
120views more  TEC 2010»
13 years 2 months ago
Benefits of a Population: Five Mechanisms That Advantage Population-Based Algorithms
This paper identifies five distinct mechanisms by which a population-based algorithm might have an advantage over a solo-search algorithm in classical optimization. These mechanism...
Adam Prügel-Bennett