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DAGM
2004
Springer
15 years 3 months ago
Efficient Face Detection by a Cascaded Support Vector Machine Using Haar-Like Features
Abstract. In this paper, we present a novel method for reducing the computational complexity of a Support Vector Machine (SVM) classifier without significant loss of accuracy. We a...
Matthias Rätsch, Sami Romdhani, Thomas Vetter
ML
2007
ACM
130views Machine Learning» more  ML 2007»
14 years 10 months ago
A note on Platt's probabilistic outputs for support vector machines
Platt’s probabilistic outputs for Support Vector Machines (Platt, 2000) has been popular for applications that require posterior class probabilities. In this note, we propose an ...
Hsuan-Tien Lin, Chih-Jen Lin, Ruby C. Weng
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
13 years 1 months ago
Rank-loss support instance machines for MIML instance annotation
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
Forrest Briggs, Xiaoli Z. Fern, Raviv Raich
AUSDM
2006
Springer
177views Data Mining» more  AUSDM 2006»
15 years 3 months ago
On The Optimal Working Set Size in Serial and Parallel Support Vector Machine Learning With The Decomposition Algorithm
The support vector machine (SVM) is a wellestablished and accurate supervised learning method for the classification of data in various application fields. The statistical learnin...
Tatjana Eitrich, Bruno Lang