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» Measuring the Complexity of Classification Problems
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922views
15 years 2 months ago
Multi-Class Active Learning for Image Classification
One of the principal bottlenecks in applying learning techniques to classification problems is the large amount of labeled training data required. Especially for images and video, ...
Ajay J. Joshi, Fatih Porikli, Nikolaos Papanikolop...
SIGMOD
2010
ACM
205views Database» more  SIGMOD 2010»
14 years 18 days ago
Performing sound flash device measurements: some lessons from uFLIP
It is amazingly easy to get meaningless results when measuring flash devices, partly because of the peculiarity of flash memory, but primarily because their behavior is determin...
Matias Bjørling, Lionel Le Folgoc, Ahmed Ms...
PR
2008
154views more  PR 2008»
13 years 7 months ago
Data-driven decomposition for multi-class classification
This paper presents a new study on a method of designing a multi-class classifier: Data-driven Error Correcting Output Coding (DECOC). DECOC is based on the principle of Error Cor...
Jie Zhou, Hanchuan Peng, Ching Y. Suen
CVPR
2010
IEEE
14 years 4 months ago
Locality-constrained Linear Coding for Image Classification
The traditional SPM approach based on bag-of-features (BoF) must use nonlinear classifiers to achieve good image classification performance. This paper presents a simple but effec...
Jinjun Wang, Jianchao Yang, Kai Yu, Fengjun Lv
ICIP
2003
IEEE
14 years 9 months ago
Pixel classification through divergence-based integration of texture methods with conflict resolution
This paper presents a new technique for combining multiple texture feature extraction methods in order to classify the pixels of an input image into a set of texture models of int...
Domènec Puig, Miguel Angel García