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» Enhancements for Local Feature Based Image Classification
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ICDAR
2009
IEEE
14 years 2 months ago
Recognition of Degraded Handwritten Characters Using Local Features
The main problems of Optical Character Recognition (OCR) systems are solved if printed latin text is considered. Since OCR systems are based upon binary images, their results are ...
Markus Diem, Robert Sablatnig
ICPR
2006
IEEE
14 years 9 months ago
A fast binary-image comparison method with local-dissimilarity quantification
Image similarity measure is widely used in image processing. For binary images that are not composed of a single shape, a local comparison is interesting but the features are usel...
Etienne Baudrier, Frédéric Nicolier,...
PRL
2006
99views more  PRL 2006»
13 years 7 months ago
An ensemble-driven k-NN approach to ill-posed classification problems
This paper addresses the supervised classification of remote-sensing images in problems characterized by relatively small-size training sets with respect to the input feature spac...
Mingmin Chi, Lorenzo Bruzzone
ICIP
2008
IEEE
14 years 2 months ago
A systematic study of the role of context on image classification
We present the results of a systematic study of the contextual gain hypothesis for image classiļ¬cation. This hypothesis relates the traditional strategy of direct visual classiļ...
Nikhil Rasiwasia, Nuno Vasconcelos
VLSISP
2010
254views more  VLSISP 2010»
13 years 6 months ago
Manifold Based Local Classifiers: Linear and Nonlinear Approaches
Abstract In case of insufficient data samples in highdimensional classification problems, sparse scatters of samples tend to have many ā€˜holesā€™ā€”regions that have few or no nea...
Hakan Cevikalp, Diane Larlus, Marian Neamtu, Bill ...