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» Feature Selection for Support Vector Machines
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KDD
2008
ACM
167views Data Mining» more  KDD 2008»
14 years 8 months ago
A sequential dual method for large scale multi-class linear svms
Efficient training of direct multi-class formulations of linear Support Vector Machines is very useful in applications such as text classification with a huge number examples as w...
S. Sathiya Keerthi, S. Sundararajan, Kai-Wei Chang...
ICIAP
2003
ACM
14 years 7 months ago
Old fashioned state-of-the-art image classification
In this paper we present a statistical learning scheme for image classification based on a mixture of old fashioned ideas and state of the art learning tools. We represent input i...
Annalisa Barla, Francesca Odone, Alessandro Verri
BIBM
2009
IEEE
151views Bioinformatics» more  BIBM 2009»
14 years 2 months ago
Detection of Gene Orthology Based on Protein-Protein Interaction Networks
Abstract—Ortholog detection methods present a powerful approach for finding genes that participate in similar biological processes across different organisms, extending our unde...
Fadi Towfic, M. Heather West Greenlee, Vasant Hona...
MIR
2010
ACM
234views Multimedia» more  MIR 2010»
14 years 2 months ago
ACQUINE: aesthetic quality inference engine - real-time automatic rating of photo aesthetics
We present ACQUINE - Aesthetic Quality Inference Engine, a publicly accessible system which allows users to upload their photographs and have them rated automatically for aestheti...
Ritendra Datta, James Ze Wang
ICRA
2008
IEEE
134views Robotics» more  ICRA 2008»
14 years 2 months ago
Towards robust place recognition for robot localization
— Localization and context interpretation are two key competences for mobile robot systems. Visual place recognition, as opposed to purely geometrical models, holds promise of hi...
Muhammad Muneeb Ullah, Andrzej Pronobis, Barbara C...