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» Using Error-Correcting Codes for Text Classification
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CIARP
2008
Springer
13 years 7 months ago
Ensemble Approaches to Facial Action Unit Classification
Facial action unit (au) classification is an approach to face expression recognition that decouples the recognition of expression from individual actions. In this paper, upper face...
Terry Windeatt, Kaushala Dias
AIIA
2001
Springer
13 years 9 months ago
A New Machine Learning Approach to Fingerprint Classification
We present new fingerprint classification algorithms based on two machine learning approaches: support vector machines (SVMs), and recursive neural networks (RNNs). RNNs are traine...
Yuan Yao, Gian Luca Marcialis, Massimiliano Pontil...
ICML
2005
IEEE
14 years 6 months ago
A smoothed boosting algorithm using probabilistic output codes
AdaBoost.OC has shown to be an effective method in boosting "weak" binary classifiers for multi-class learning. It employs the Error Correcting Output Code (ECOC) method...
Rong Jin, Jian Zhang
MICCAI
2009
Springer
14 years 2 months ago
ECOC Random Fields for Lumen Segmentation in Radial Artery IVUS Sequences
The measure of lumen volume on radial arteries can be used to evaluate the vessel response to different vasodilators. In this paper, we present a framework for automatic lumen segm...
Francesco Ciompi, Oriol Pujol, Eduard Ferná...
ICPR
2010
IEEE
13 years 3 months ago
Multi-class Graph Boosting with Subgraph Sharing for Object Recognition
In this paper, we propose a novel multi-class graph boosting algorithm to recognize different visual objects. The proposed method treats subgraph as feature to construct base clas...
Bang Zhang, Getian Ye, Yang Wang 0002, Wei Wang, J...