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SIGIR
2003
ACM
14 years 1 months ago
Image classification using hybrid neural networks
Use of semantic content is one of the major issues which needs to be addressed for improving image retrieval effectiveness. We present a new approach to classify images based on t...
Chih-Fong Tsai, Kenneth McGarry, John Tait
WWW
2005
ACM
14 years 9 months ago
Adaptive page ranking with neural networks
Recent developments in the area of neural networks provided new models which are capable of processing general types of graph structures. Neural networks are well-known for their ...
Franco Scarselli, Sweah Liang Yong, Markus Hagenbu...
ANNPR
2006
Springer
14 years 10 days ago
Hierarchical Neural Networks Utilising Dempster-Shafer Evidence Theory
Abstract. Hierarchical neural networks show many benefits when employed for classification problems even when only simple methods analogous to decision trees are used to retrieve t...
Rebecca Fay, Friedhelm Schwenker, Christian Thiel,...
COLING
2008
13 years 10 months ago
Latent Morpho-Semantic Analysis: Multilingual Information Retrieval with Character N-Grams and Mutual Information
We describe an entirely statistics-based, unsupervised, and languageindependent approach to multilingual information retrieval, which we call Latent Morpho-Semantic Analysis (LMSA...
Peter A. Chew, Brett W. Bader, Ahmed Abdelali
ICANN
2010
Springer
13 years 8 months ago
Automatic Segmentation of Color Lip Images Based on Morphological Filter
This paper addresses the problem of lip segmentation in color space, which is a crucial issue to the success of a lip-reading system. We present a new segmentation approach to lip ...
Meng Li, Yiu-ming Cheung