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ICPR
2008
IEEE
15 years 7 months ago
Relevant pattern selection for subspace learning
In this paper, we propose a scheme to improve the performance of subspace learning by using a pattern(data) selection method as preprocessing. Generally, a training set for subspa...
Jin Hee Na, Seok Min Yun, Minsoo Kim, Jin Young Ch...
97
Voted
ICPR
2008
IEEE
15 years 7 months ago
A probabilistic model for classifying segmented images
In this work we introduce a probabilistic model for classifying segmented images. The proposed classifier is very general and it can deal both with images that were segmented wit...
Liang Wu, Predrag Neskovic, Leon N. Cooper
103
Voted
ICPR
2008
IEEE
15 years 7 months ago
Support Vector Data Description for image categorization from Internet images
Training a classifier for object category recognition using images on the Internet is an attractive approach due to its scalability. However, a big challenge in this approach is ...
Xiaodong Yu, Daniel DeMenthon, David S. Doermann
99
Voted
IDEAL
2005
Springer
15 years 6 months ago
SOM-Based Novelty Detection Using Novel Data
Novelty detection involves identifying novel patterns. They are not usually available during training. Even if they are, the data quantity imbalance leads to a low classification ...
Hyoungjoo Lee, Sungzoon Cho
ECAI
2004
Springer
15 years 6 months ago
Explaining the Result of a Decision Tree to the End-User
This paper addresses the problem of the explanation of the result given by a decision tree, when it is used to predict the class of new cases. In order to evaluate this result, the...
Isabelle Alvarez