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» Semi-Supervised Support Vector Machines
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NIPS
2003
13 years 9 months ago
Max-Margin Markov Networks
In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...
Benjamin Taskar, Carlos Guestrin, Daphne Koller
MM
2010
ACM
251views Multimedia» more  MM 2010»
13 years 7 months ago
A cognitive approach for effective coding and transmission of 3D video
Reliable delivery of 3D video contents to a wide set of users is expected to be the next big revolution in multimedia applications provided that it is possible to grant a certain ...
Simone Milani, Giancarlo Calvagno
ARTMED
2007
347views more  ARTMED 2007»
13 years 7 months ago
A combined MRI and MRSI based multiclass system for brain tumour recognition using LS-SVMs with class probabilities and feature
Objective: This study investigates the use of automated pattern recognition methods on magnetic resonance data with the ultimate goal to assist clinicians in the diagnosis of brai...
Jan Luts, Arend Heerschap, Johan A. K. Suykens, Sa...
BIODATAMINING
2008
163views more  BIODATAMINING 2008»
13 years 7 months ago
Multivariate profiling of neurodegeneration-associated changes in a subcellular compartment of neurons via image processing
Background: Dysfunction in the endolysosome, a late endosomal to lysosomal degradative intracellular compartment, is an early hallmark of some neurodegenerative diseases, in parti...
Saravana K. Kumarasamy, Yunshi Wang, Vignesh Viswa...
BMCBI
2010
117views more  BMCBI 2010»
13 years 7 months ago
Properties and identification of antibiotic drug targets
Background: We analysed 48 non-redundant antibiotic target proteins from all bacteria, 22 antibiotic target proteins from E. coli only and 4243 non-drug targets from E. coli to id...
Tala Bakheet, Andrew J. Doig