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» An Introduction to Learning Structured Information
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TOG
2008
84views more  TOG 2008»
15 years 3 months ago
Fast image/video upsampling
We propose a simple but effective upsampling method for automatically enhancing the image/video resolution, while preserving the essential structural information. The main advanta...
Qi Shan, Zhaorong Li, Jiaya Jia, Chi-Keung Tang
ITNG
2007
IEEE
15 years 10 months ago
Input Fuzzy Modeling for the Recognition of Handwritten Hindi Numerals
This paper presents the recognition of Handwritten Hindi Numerals based on the modified exponential membership function fitted to the fuzzy sets derived from normalized distance f...
Madasu Hanmandlu, J. Grover, Vamsi Krishna Madasu,...
SEMWEB
2009
Springer
15 years 10 months ago
Populating the Semantic Web by Macro-reading Internet Text
A key question regarding the future of the semantic web is “how will we acquire structured information to populate the semantic web on a vast scale?” One approach is to enter t...
Tom M. Mitchell, Justin Betteridge, Andrew Carlson...
ICIP
2006
IEEE
16 years 5 months ago
Local Discriminant Embedding with Tensor Representation
We present a subspace learning method, called Local Discriminant Embedding with Tensor representation (LDET), that addresses simultaneously the generalization and data representat...
Jian Xia, Dit-Yan Yeung, Guang Dai
LREC
2010
196views Education» more  LREC 2010»
15 years 5 months ago
Ontology Based Law Discovery
The vast amount of information freely available on the Web constitutes a unparalleled resource for the automatic knoweledge discovery and learning. In this paper we propose a study...
Alessio Bosca, Luca Dini