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CIVR
2003
Springer
107views Image Analysis» more  CIVR 2003»
14 years 3 months ago
Fast Video Retrieval under Sparse Training Data
Feature selection for video retrieval applications is impractical with existing techniques, because of their high time complexity and their failure on the relatively sparse trainin...
Yan Liu, John R. Kender
LREC
2010
165views Education» more  LREC 2010»
13 years 11 months ago
Maximum Entropy Classifier Ensembling using Genetic Algorithm for NER in Bengali
In this paper, we propose classifier ensemble selection for Named Entity Recognition (NER) as a single objective optimization problem. Thereafter, we develop a method based on gen...
Asif Ekbal, Sriparna Saha
ICPR
2006
IEEE
14 years 11 months ago
A Model-based Approach for Rigid Object Recognition
Most object recognition systems require large databases of real images for classifier training. To collect real images for this purpose is a difficult and expensive process. This ...
Chee Boon Chong, Fee-Lee Lim, Tele Tan
LREC
2010
164views Education» more  LREC 2010»
13 years 11 months ago
Study of Word Sense Disambiguation System that uses Contextual Features - Approach of Combining Associative Concept Dictionary a
We propose a Word Sense Disambiguation (WSD) method that accurately classifies ambiguous words to concepts in the Associative Concept Dictionary (ACD) even when the test corpus an...
Kyota Tsutsumida, Jun Okamoto, Shun Ishizaki, Mako...
WCE
2007
13 years 11 months ago
A Neural Network Approach to Objective Evaluation of Seam Pucker
—Seam pucker grade is one of the most important quality parameters in garments manufacturing industry. At present, seam pucker is usually evaluated by human inspectors, which is ...
K. L. Mak, Wei Li