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114
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BILDMED
2008
129views Algorithms» more  BILDMED 2008»
15 years 5 months ago
Evaluating the Performance of Processing Medical Volume Data on Graphics Hardware
With the broad availability and increasing performance of commodity graphics processors (GPU), non-graphical applications have become an active field of research. However, leveragi...
Matthias Raspe, Guido Lorenz, Stefan Müller 0...
126
Voted
JMLR
2010
125views more  JMLR 2010»
14 years 10 months ago
Variational Relevance Vector Machine for Tabular Data
We adopt the Relevance Vector Machine (RVM) framework to handle cases of tablestructured data such as image blocks and image descriptors. This is achieved by coupling the regulari...
Dmitry Kropotov, Dmitry Vetrov, Lior Wolf, Tal Has...
142
Voted
CVRMED
1995
Springer
15 years 7 months ago
Adaptive Segmentation of MRI Data
Abstract. Intensity-based classification of MR images has proven problematic, even when advanced techniques are used. Intra-scan and interscan intensity inhomogeneities are a comm...
William M. Wells III, W. Eric L. Grimson, Ron Kiki...
ICIP
2003
IEEE
16 years 5 months ago
Statistical learning for effective visual information retrieval
For effective retrieval of visual information, statistical learning plays a pivotal role. Statistical learning in such a context faces at least two major mathematical challenges: ...
Edward Y. Chang, Beitao Li, Gang Wu, Kingshy Goh
146
Voted
BMCBI
2007
133views more  BMCBI 2007»
15 years 3 months ago
Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data
Background: Gene expression measurements during the development of the fly Drosophila melanogaster are routinely used to find functional modules of temporally co-expressed genes. ...
Ivan G. Costa, Roland Krause, Lennart Opitz, Alexa...