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IJCNN
2000
IEEE
14 years 1 months ago
Supervised Scaled Regression Clustering: An Alternative to Neural Networks
: This paper describes a rather novel method for the supervised training of regression systems that can be an alternative to feedforward Artificial Neural Networks (ANNs) trained w...
Mark J. Embrechts, Dirk Devogelaere, Marcel Rijcka...
COLING
2010
13 years 3 months ago
Sentiment Classification and Polarity Shifting
Polarity shifting marked by various linguistic structures has been a challenge to automatic sentiment classification. In this paper, we propose a machine learning approach to inco...
Shoushan Li, Sophia Yat Mei Lee, Ying Chen, Chu-Re...
MVA
1996
13 years 10 months ago
Inductive Learning of Primitive Shape Features of Closed Contours
A method for inductivelearningof primitive features is proposed. Primitive features are well investigated and they are extracted in bottom-up manner fiom training set of patterns ...
Ichiro Murase, Shun'ichi Kaneko, Satoru Igarashi
MTA
2007
72views more  MTA 2007»
13 years 8 months ago
An improved variable-size block-matching algorithm
In this paper, we proposed an improved “bottom-up” variable-size block matching method. Different from previous work, the proposed method does not need any threshold during th...
Haifeng Wang, Qingshan Liu, Hanqing Lu
DAS
2010
Springer
13 years 7 months ago
Automatic unsupervised parameter selection for character segmentation
A major difficulty for designing a document image segmentation methodology is the proper value selection for all involved parameters. This is usually done after experimentations o...
Georgios Vamvakas, Nikolaos Stamatopoulos, Basilio...