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» Temporal Data Classification Using Linear Classifiers
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MIR
2010
ACM
325views Multimedia» more  MIR 2010»
15 years 4 months ago
A classification-driven similarity matching framework for retrieval of biomedical images
This paper presents a classification-driven biomedical image retrieval system to bride the semantic gap by transforming image features to their global categories at different gran...
Md. Mahmudur Rahman, Sameer Antani, George R. Thom...
112
Voted
BMVC
1998
15 years 3 months ago
Recovering More Classes than Available Bands for Mixed Pixels in Remote Sensing
The classification of sets of mixed pixels can be accomplished by making use of the relationship of higher order moments of the distributions of the pure and mixed classes. As a c...
Maria Faraklioti, Maria Petrou
117
Voted
ICML
2004
IEEE
16 years 3 months ago
Semi-supervised learning using randomized mincuts
In many application domains there is a large amount of unlabeled data but only a very limited amount of labeled training data. One general approach that has been explored for util...
Avrim Blum, John D. Lafferty, Mugizi Robert Rweban...
97
Voted
BMCBI
2007
178views more  BMCBI 2007»
15 years 2 months ago
SVM clustering
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...
Stephen Winters-Hilt, Sam Merat
115
Voted
BMCBI
2006
216views more  BMCBI 2006»
15 years 2 months ago
Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
Background: Retinal photoreceptors are highly specialised cells, which detect light and are central to mammalian vision. Many retinal diseases occur as a result of inherited dysfu...
Haiying Wang, Huiru Zheng, David Simpson, Francisc...