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» Learning a Classification Model for Segmentation
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MICCAI
2010
Springer
15 years 3 months ago
A Fully Automated Approach to Segmentation of Irregularly Shaped Cellular Structures in EM Images
Abstract. While there has been substantial progress in segmenting natural images, state-of-the-art methods that perform well in such tasks unfortunately tend to underperform when c...
Aurélien Lucchi, Kevin Smith, Radhakrishna ...
125
Voted
ICIAP
2007
ACM
16 years 5 months ago
Learning Repetitive Patterns for Classifying Non-Rigidly Deforming Texture Surfaces
In this paper, we address the relatively unexplored problem of classifying texture surfaces undergoing significant levels of non-rigid deformation. State-of-the-art texture classi...
Roman Filipovych, Eraldo Ribeiro
JMLR
2010
125views more  JMLR 2010»
14 years 12 months ago
Maximum Likelihood in Cost-Sensitive Learning: Model Specification, Approximations, and Upper Bounds
The presence of asymmetry in the misclassification costs or class prevalences is a common occurrence in the pattern classification domain. While much interest has been devoted to ...
Jacek P. Dmochowski, Paul Sajda, Lucas C. Parra
AI
2002
Springer
15 years 5 months ago
Learning cost-sensitive active classifiers
Most classification algorithms are "passive", in that they assign a class label to each instance based only on the description given, even if that description is incompl...
Russell Greiner, Adam J. Grove, Dan Roth
195
Voted
JCST
2010
109views more  JCST 2010»
14 years 12 months ago
The Inverse Classification Problem
In this paper, we examine an emerging variation of the classification problem, which is known as the inverse classification problem. In this problem, we determine the features to b...
Charu C. Aggarwal, Chen Chen, Jiawei Han