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» Class Separability in Spaces Reduced By Feature Selection
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WEBI
2005
Springer
14 years 2 months ago
A Semi-Supervised Document Clustering Algorithm Based on EM
Document clustering is a very hard task in Automatic Text Processing since it requires to extract regular patterns from a document collection without a priori knowledge on the cat...
Leonardo Rigutini, Marco Maggini
CODES
2004
IEEE
14 years 14 days ago
Efficient exploration of on-chip bus architectures and memory allocation
Separation between computation and communication in system design allows the system designer to explore the communication architecture independently of component selection and map...
Sungchan Kim, Chaeseok Im, Soonhoi Ha
TIP
2010
162views more  TIP 2010»
13 years 3 months ago
Multivariate Image Segmentation Using Semantic Region Growing With Adaptive Edge Penalty
Multivariate image segmentation is a challenging task, influenced by large intraclass variation that reduces class distinguishability as well as increased feature space sparseness ...
A. K. Qin, David A. Clausi
MICCAI
2003
Springer
14 years 9 months ago
A New Brain Segmentation Framework
We present a new brain segmentation framework which we apply to T1-weighted magnetic resonance image segmentation. The innovation of the algorithm in comparison to the state-of-the...
Torsten Butz, Patric Hagmann, Eric Tardif, Reto Me...
GIS
2006
ACM
14 years 9 months ago
Efficient position-independent iconic search using an R-theta index
An iconic image database is a collection of symbolic images where each image is a collection of labeled point features called icons. A method is presented to support fast position...
Charles Ben Cranston, Hanan Samet