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» Extraction of fuzzy rules from support vector machines
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ICASSP
2011
IEEE
12 years 8 months ago
Fall detection in a smart room by using a fuzzy one class support vector machine and imperfect training data
In this paper, we propose an efficient and robust fall detection system by using a fuzzy one class support vector machine based on video information. Two cameras are used to capt...
Miao Yu, Syed Mohsen Naqvi, Adel Rhuma, Jonathon A...
ICIC
2007
Springer
13 years 11 months ago
Fuzzy Modeling Via On-Line Clustering and Support Vector Machine
Abstract. This paper describes a novel fuzzy rule-based modeling approach for some slow industrial processses. Structure identification is realized by clustering and support vecto...
Julio César Tovar, Wen Yu, Xiaoou Li
IJAR
2006
133views more  IJAR 2006»
13 years 4 months ago
Extraction of similarity based fuzzy rules from artificial neural networks
A method to extract a fuzzy rule based system from a trained artificial neural network for classification is presented. The fuzzy system obtained is equivalent to the correspondin...
Carlos Javier Mantas, José Manuel Puche, J....
ERCIMDL
2010
Springer
180views Education» more  ERCIMDL 2010»
13 years 2 months ago
SciPlore Xtract: Extracting Titles from Scientific PDF Documents by Analyzing Style Information (Font Size)
Extracting titles from a PDFs full text is an important task in information retrieval to identify PDFs. Existing approaches apply complicated and expensive (in terms of calculating...
Jöran Beel, Bela Gipp, Ammar Shaker, Nick Fri...
IWCLS
2007
Springer
13 years 11 months ago
Evolving Fuzzy Rules with UCS: Preliminary Results
This paper presents Fuzzy-UCS, a Michigan-style Learning Fuzzy-Classifier System designed for supervised learning tasks. FuzzyUCS combines the generalization capabilities of UCS w...
Albert Orriols-Puig, Jorge Casillas, Ester Bernad&...