Sciweavers

91 search results - page 8 / 19
» Using output codes to boost multiclass learning problems
Sort
View
JMLR
2002
144views more  JMLR 2002»
14 years 9 months ago
Round Robin Classification
In this paper, we discuss round robin classification (aka pairwise classification), a technique for handling multi-class problems with binary classifiers by learning one classifie...
Johannes Fürnkranz
TSMC
2011
292views more  TSMC 2011»
14 years 4 months ago
Circular Blurred Shape Model for Multiclass Symbol Recognition
—In this paper, we propose a circular blurred shape model descriptor to deal with the problem of symbol detection and classification as a particular case of object recognition. ...
Sergio Escalera, Alicia Fornés, Oriol Pujol...
CAIP
2009
Springer
211views Image Analysis» more  CAIP 2009»
15 years 4 months ago
Contextual-Guided Bag-of-Visual-Words Model for Multi-class Object Categorization
Abstract. Bag-of-words model (BOW) is inspired by the text classification problem, where a document is represented by an unsorted set of contained words. Analogously, in the objec...
Mehdi Mirza-Mohammadi, Sergio Escalera, Petia Rade...
JMLR
2006
113views more  JMLR 2006»
14 years 9 months ago
Generalized Bradley-Terry Models and Multi-Class Probability Estimates
The Bradley-Terry model for obtaining individual skill from paired comparisons has been popular in many areas. In machine learning, this model is related to multi-class probabilit...
Tzu-Kuo Huang, Ruby C. Weng, Chih-Jen Lin
PR
2008
140views more  PR 2008»
14 years 9 months ago
An incremental node embedding technique for error correcting output codes
The error correcting output codes (ECOC) technique is a useful way to extend any binary classifier to the multiclass case. The design of an ECOC matrix usually considers an a prio...
Oriol Pujol, Sergio Escalera, Petia Radeva