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» Learning Classifiers from Semantically Heterogeneous Data
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FLAIRS
2004
13 years 10 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
12 years 8 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
ICMLC
2010
Springer
13 years 7 months 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
ECIR
2009
Springer
13 years 6 months 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
COLING
2000
13 years 10 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