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» On the Learnability and Design of Output Codes for Multiclas...
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ICIAP
2009
ACM
14 years 8 months ago
Multi-class Binary Symbol Classification with Circular Blurred Shape Models
Multi-class binary symbol classification requires the use of rich descriptors and robust classifiers. Shape representation is a difficult task because of several symbol distortions...
Sergio Escalera, Alicia Fornés, Oriol Pujol...
IWANN
1999
Springer
13 years 11 months ago
Support Vector Machines for Multi-class Classification
Abstract: Support vector machines (SVMs) are primarily designed for 2-class classification problems. Although in several papers it is mentioned that the combination of K SVMs can b...
Eddy Mayoraz, Ethem Alpaydin
ICPR
2010
IEEE
13 years 5 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...
ICPR
2008
IEEE
14 years 2 months ago
Error-Correcting output coding for chagasic patients characterization
The Chagas’ disease is endemic in all Latin America, affecting millions of people in the continent. In order to diagnose and treat the chagas’ disease, it is important to dete...
Sergio Escalera, Oriol Pujol, Petia Radeva
ICPR
2002
IEEE
14 years 14 days ago
Tree Pruning for Output Coded Ensembles
Output Coding is a method of converting a multiclass problem into several binary subproblems and gives an ensemble of binary classifiers. Like other ensemble methods, its perform...
Terry Windeatt, Gholamreza Ardeshir