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» Abduction in Classification Tasks
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ICPR
2010
IEEE
14 years 7 months ago
Improving Classification Accuracy by Comparing Local Features through Canonical Correlations
Classifying images using features extracted from densely sampled local patches has enjoyed significant success in many detection and recognition tasks. It is also well known that ...
Mert Dikmen, Thomas S. Huang
SIGIR
2010
ACM
14 years 4 months ago
The ECIR 2010 large scale hierarchical classification workshop
This paper reports on the Large Scale Hierarchical Classification workshop (http:// kmi.open.ac.uk/events/ecir2010/workshops-tutorials), held in conjunction with the European Conf...
A. Kosmopoulos, Éric Gaussier, Georgios Pal...
ICPR
2002
IEEE
15 years 11 months ago
Classification Using a Hierarchical Bayesian Approach
A key problem faced by classifiers is coping with styles not represented in the training set. We present an application of hierarchical Bayesian methods to the problem of recogniz...
Charles Mathis, Thomas M. Breuel
ICML
2007
IEEE
15 years 10 months ago
Optimal dimensionality of metric space for classification
In many real-world applications, Euclidean distance in the original space is not good due to the curse of dimensionality. In this paper, we propose a new method, called Discrimina...
Wei Zhang, Xiangyang Xue, Zichen Sun, Yue-Fei Guo,...
ICML
2000
IEEE
15 years 10 months ago
Using Error-Correcting Codes for Text Classification
This paper explores in detail the use of Error Correcting Output Coding (ECOC) for learning text classifiers. We show that the accuracy of a Naive Bayes Classifier over text class...
Rayid Ghani