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ESANN
2007
14 years 11 months ago
A new feature selection scheme using data distribution factor for transactional data
A new efficient unsupervised feature selection method is proposed to handle transactional data. The proposed feature selection method introduces a new Data Distribution Factor (DDF...
Piyang Wang, Tommy W. S. Chow
ICMCS
2005
IEEE
150views Multimedia» more  ICMCS 2005»
15 years 3 months ago
Automatic parsing of American football videos by intermodal collaboration based on transition rules
This paper proposes an automatic American football video parsing method based on transition rules of an American football game. Combining the results of live scene extraction and ...
Naoko Nitta, Noboru Babaguchi
CEAS
2004
Springer
15 years 2 months ago
The Impact of Feature Selection on Signature-Driven Spam Detection
Signature-driven spam detection provides an alternative to machine learning approaches and can be very effective when near-duplicates of essentially the same message are sent in h...
Aleksander Kolcz, Abdur Chowdhury, Joshua Alspecto...
EWCBR
2004
Springer
15 years 2 months ago
Feature Selection and Generalisation for Retrieval of Textual Cases
Textual CBR systems solve problems by reusing experiences that are in textual form. Knowledge-rich comparison of textual cases remains an important challenge for these systems. How...
Nirmalie Wiratunga, Ivan Koychev, Stewart Massie
ACIVS
2008
Springer
15 years 3 months ago
Fuzzy Rule Iterative Feature Selection (FRIFS) with Respect to the Choquet Integral Apply to Fabric Defect Recognition
An iterative method to select suitable features in an industrial fabric defect recognition context is proposed in this paper. It combines a global feature selection method based on...
Emmanuel Schmitt, Vincent Bombardier, Laurent Wend...