In the field of pattern recognition, the concept of Multiple Classifier Systems (MCSs) was proposed as a method for the development of high performance classification systems. At p...
Abstract In case of insufficient data samples in highdimensional classification problems, sparse scatters of samples tend to have many ‘holes’—regions that have few or no nea...
Hakan Cevikalp, Diane Larlus, Marian Neamtu, Bill ...
In this paper we describe the TNO approach to large-scale polarity classification of the Blog TREC 2008 dataset. Our participation consists of the submission of the 5 baseline run...
—Support Vector Machines are emerging as a powerful machine-learning tool. Logarithmic Number Systems (LNS) utilize the property of logarithmic compression for numerical operatio...
Faisal M. Khan, Mark G. Arnold, William M. Potteng...
Multidimensional packet classification has attracted considerable research interests in the past few years due to the increasing demand on policy based packet forwarding and secur...