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» Classifying model-theoretic properties
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JMLR
2006
150views more  JMLR 2006»
13 years 10 months ago
Building Support Vector Machines with Reduced Classifier Complexity
Support vector machines (SVMs), though accurate, are not preferred in applications requiring great classification speed, due to the number of support vectors being large. To overc...
S. Sathiya Keerthi, Olivier Chapelle, Dennis DeCos...
PAA
2006
13 years 10 months ago
Classifying image texture with statistical landscape features
This paper proposes to use three-dimensional information derived from the graph of an image function for texture description. The graph of an image function is a rumpled surface ap...
Cun Xu, Yan Chen
ENTCS
2010
111views more  ENTCS 2010»
13 years 7 months ago
Fundamental Nano-Patterns to Characterize and Classify Java Methods
Fundamental nano-patterns are simple, static, binary properties of Java methods, such as ObjectCreator and Recursive. We present a provisional catalogue of 17 such nano-patterns. ...
Jeremy Singer, Gavin Brown, Mikel Luján, Ad...
ICASSP
2011
IEEE
13 years 1 months ago
Classifying soundtracks with audio texture features
Sound textures may be defined as sounds whose character depends on statistical properties as much as the specific details of each individually-perceived event. Recent work has d...
Daniel P. W. Ellis, Xiaohong Zeng, Josh H. McDermo...
KDD
2003
ACM
180views Data Mining» more  KDD 2003»
14 years 10 months ago
Classifying large data sets using SVMs with hierarchical clusters
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
Hwanjo Yu, Jiong Yang, Jiawei Han