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» Feature Mining for Image Classification
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IDA
2008
Springer
15 years 2 months ago
Symbolic methodology for numeric data mining
Currently statistical and artificial neural network methods dominate in data mining applications. Alternative relational (symbolic) data mining methods have shown their effectivene...
Boris Kovalerchuk, Evgenii Vityaev
SDM
2004
SIAM
187views Data Mining» more  SDM 2004»
15 years 4 months ago
Class-Specific Ensembles for Active Learning
In many real-world tasks of image classification, limited amounts of labeled data are available to train automatic classifiers. Consequently, extensive human expert involvement is...
Amit Mandvikar, Huan Liu
BIRD
2008
Springer
131views Bioinformatics» more  BIRD 2008»
15 years 4 months ago
Identifying Subcellular Locations from Images of Unknown Resolution
Our group has previously used machine learning techniques to develop computational systems to automatically analyse fluorescence microscope images and classify the location of the ...
Luís Pedro Coelho, Robert F. Murphy
AVSS
2007
IEEE
15 years 9 months ago
Experiments with patch-based object classification
We present and experiment with a patch-based algorithm for the purpose of object classification in video surveillance. A feature vector is calculated based on template matching o...
Rob G. J. Wijnhoven, Peter H. N. de With
PRL
2008
147views more  PRL 2008»
15 years 2 months ago
Deformations, patches, and discriminative models for automatic annotation of medical radiographs
In this paper, we describe three different methods for the classification and annotation of medical radiographs. The methods were applied in the medical image annotation tasks of ...
Thomas Deselaers, Hermann Ney