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» A kernel path algorithm for support vector machines
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KDD
2008
ACM
167views Data Mining» more  KDD 2008»
14 years 9 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...
KDD
2002
ACM
126views Data Mining» more  KDD 2002»
14 years 9 months ago
Integrating feature and instance selection for text classification
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
Dimitris Fragoudis, Dimitris Meretakis, Spiros Lik...
KDD
2002
ACM
179views Data Mining» more  KDD 2002»
14 years 9 months ago
Combining clustering and co-training to enhance text classification using unlabelled data
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
Bhavani Raskutti, Herman L. Ferrá, Adam Kow...
MIR
2010
ACM
234views Multimedia» more  MIR 2010»
14 years 3 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
ICMCS
2008
IEEE
148views Multimedia» more  ICMCS 2008»
14 years 3 months ago
Audio tonality mode classification without tonic annotations
Traditional tonality mode (major or minor) classification or audio key finding algorithms often rely on tonic annotations (key names) of the training songs. However, unlike clas...
Zhiyao Duan, Lie Lu, Changshui Zhang