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» A New Class Based Associative Classification Algorithm
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ECCV
2008
Springer
15 years 4 months ago
Unsupervised Classification and Part Localization by Consistency Amplification
We present a novel method for unsupervised classification, including the discovery of a new category and precise object and part localization. Given a set of unlabelled images, som...
Leonid Karlinsky, Michael Dinerstein, Dan Levi, Sh...
120
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...
150
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ICSM
2009
IEEE
15 years 9 days ago
Decomposing object-oriented class modules using an agglomerative clustering technique
Software can be considered a live entity, as it undergoes many alterations throughout its lifecycle. Furthermore, developers do not usually retain a good design in favor of adding...
Marios Fokaefs, Nikolaos Tsantalis, Alexander Chat...
121
Voted
EUSFLAT
2009
133views Fuzzy Logic» more  EUSFLAT 2009»
15 years 11 days ago
On the Information Provided by Uncertainty Measures in the Classification of Remote Sensing Images
This paper investigates the potential information provided to the user by the uncertainty measures applied to the possibility distributions associated with the spatial units of an ...
Luisa M. S. Gonçalves, Cidália C. Fo...
CVPR
2004
IEEE
16 years 4 months ago
Model-Based Motion Clustering Using Boosted Mixture Modeling
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
Vladimir Pavlovic