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» Using Two-Class Classifiers for Multiclass Classification
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FQAS
2006
Springer
92views Database» more  FQAS 2006»
15 years 1 months ago
Multi-module Image Classification System
In this paper, we propose an image classification system employing multiple modules. The proposed system hierarchically categorizes given sports images into one of the predefined s...
Wonil Kim, Sangyoon Oh, Sanggil Kang, Dongkyun Kim
SMC
2007
IEEE
156views Control Systems» more  SMC 2007»
15 years 4 months ago
Dynamic fusion of classifiers for fault diagnosis
—This paper considers the problem of temporally fusing classifier outputs to improve the overall diagnostic classification accuracy in safety-critical systems. Here, we discuss d...
Satnam Singh, Kihoon Choi, Anuradha Kodali, Krishn...
IPMI
2001
Springer
15 years 11 months ago
Deformation Analysis for Shape Based Classification
Statistical analysis of anatomical shape differences between two different populations can be reduced to a classification problem, i.e., learning a classifier function for assignin...
Polina Golland, W. Eric L. Grimson, Martha Elizabe...
LREC
2010
206views Education» more  LREC 2010»
14 years 11 months ago
Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain
In this paper we evaluate the performance of multilabel classification algorithms on the EUR-Lex database of legal documents of the European Union. On the same set of underlying d...
Eneldo Loza Mencía, Johannes Fürnkranz
84
Voted
ICML
2004
IEEE
15 years 11 months ago
Margin based feature selection - theory and algorithms
Feature selection is the task of choosing a small set out of a given set of features that capture the relevant properties of the data. In the context of supervised classification ...
Ran Gilad-Bachrach, Amir Navot, Naftali Tishby