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167
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HISB
2011
92views more  HISB 2011»
14 years 3 months ago
Unsupervised Grow-Cut: Cellular Automata-Based Medical Image Segmentation
— This paper presents a new cellular automata-based unsupervised image segmentation technique that is motivated by the interactive grow-cut algorithm. In contrast to the traditio...
Payel Ghosh, Sameer Antani, L. Rodney Long, George...
JCB
2002
160views more  JCB 2002»
15 years 3 months ago
Inference from Clustering with Application to Gene-Expression Microarrays
There are many algorithms to cluster sample data points based on nearness or a similarity measure. Often the implication is that points in different clusters come from different u...
Edward R. Dougherty, Junior Barrera, Marcel Brun, ...
183
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CVPR
2010
IEEE
15 years 8 months ago
The Automatic Design of Feature Spaces for Local Image Descriptors using an Ensemble of Non-linear Feature Extractors
The design of feature spaces for local image descriptors is an important research subject in computer vision due to its applicability in several problems, such as visual classifi...
Gustavo Carneiro
BMCBI
2007
112views more  BMCBI 2007»
15 years 4 months ago
Selecting dissimilar genes for multi-class classification, an application in cancer subtyping
Background: Gene expression microarray is a powerful technology for genetic profiling diseases and their associated treatments. Such a process involves a key step of biomarker ide...
Zhipeng Cai, Randy Goebel, Mohammad R. Salavatipou...
RECOMB
2004
Springer
16 years 4 months ago
The Distribution of Inversion Lengths in Bacteria
The distribution of the lengths of genomic segments inverte during the evolutionary divergence of two species cannot be inferred d rectly from the output of genome rearrangement al...
Adrian Maler, David Sankoff, Elisabeth R. M. Tilli...