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ICDM
2009
IEEE
142views Data Mining» more  ICDM 2009»
15 years 4 months ago
Building Classifiers with Independency Constraints
In this paper we study the problem of classifier learning where the input data contains unjustified dependencies between some data attributes and the class label. Such cases arise...
Toon Calders, Faisal Kamiran, Mykola Pechenizkiy
ICIP
2006
IEEE
16 years 8 months ago
Precision-Oriented Active Selection for Interactive Image Retrieval
Active learning methods have been considered with an increased interest in the content-based image retrieval (CBIR) community. Those methods used to be based on classical classifi...
Philippe Henri Gosselin, Matthieu Cord
ICIP
2002
IEEE
16 years 8 months ago
Region-based retrieval: coarse segmentation with fine color signature
The two major problems raised by a region-based image retrieval system are the automatic definition and description of regions. In this paper we first present a technique of unsup...
Julien Fauqueur, Nozha Boujemaa
ICPR
2006
IEEE
16 years 8 months ago
A New Data Selection Principle for Semi-Supervised Incremental Learning
Current semi-supervised incremental learning approaches select unlabeled examples with predicted high confidence for model re-training. We show that for many applications this dat...
Alexander I. Rudnicky, Rong Zhang
219
Voted
MICCAI
2006
Springer
16 years 7 months ago
MR Image Segmentation Using Phase Information and a Novel Multiscale Scheme
This paper considers the problem of automatic classification of textured tissues in 3D MRI. More specifically, it aims at validating the use of features extracted from the phase of...
Jurgen Fripp, Peter Stanwell, Pierrick Bourgeat, S...