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» Learning Classifiers from Semantically Heterogeneous Data
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FLAIRS
2004
15 years 3 months ago
Towards a Universal Web Wrapper
The wealth of information contained in the world-wide web has created much interest in systems for integrating information from multiple sites. We describe a universal wrapper mac...
Theodore W. Hong, Keith L. Clark
ICCV
2011
IEEE
14 years 2 months ago
Manhattan Scene Understanding Using Monocular, Stereo, and 3D Features
This paper addresses scene understanding in the context of a moving camera, integrating semantic reasoning ideas from monocular vision with 3D information available through struct...
Alex Flint, David Murray, Ian Reid
114
Voted
ICMLC
2010
Springer
15 years 29 days ago
An integrity-based fuzzy c-means method resolving cluster size sensitivity problem
: Cluster size insensitive FCM (csiFCM) dynamically adjusts the membership value of each object based on the size of the cluster to which it is assigned after defuzzification to re...
Y. H. Lai, P. W. Huang, P. L. Lin
157
Voted
ECIR
2009
Springer
15 years 7 days ago
Refining Keyword Queries for XML Retrieval by Combining Content and Structure
Abstract. The structural heterogeneity and complexity of XML repositories makes query formulation challenging for users who have little knowledge of XML. To assist its users, an XM...
Desislava Petkova, W. Bruce Croft, Yanlei Diao
97
Voted
COLING
2000
15 years 3 months ago
Language Identification In Unknown Signals
This paper describes algorithms and software developed to characterise and detect generic intelligent language-like features iu an input signal, using Natural Language Learning te...
John R. Elliott, Eric Atwell, Bill Whyte