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» Memetic Algorithms for Feature Selection on Microarray Data
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CVPR
2010
IEEE
14 years 4 months ago
Online Multiple Instance Learning with No Regret
Multiple instance (MI) learning is a recent learning paradigm that is more flexible than standard supervised learning algorithms in the handling of label ambiguity. It has been u...
Li Mu, James Kwok, Lu Bao-liang
ICDCSW
2002
IEEE
14 years 1 months ago
Real-Time Processing of Media Streams: A Case for Event-Based Interaction
There are many challenges in devising solutions for online content processing of live networked multimedia sessions. These include the computational complexity of feature extracti...
Viktor S. Wold Eide, Frank Eliassen, Olav Lysne, O...
DAGM
2001
Springer
14 years 1 months ago
3D Model Retrieval with Spherical Harmonics and Moments
We consider 3D object retrieval in which a polygonal mesh serves as a query and similar objects are retrieved from a collection of 3D objects. Algorithms proceed first by a normal...
Dietmar Saupe, Dejan V. Vranic
CORR
2010
Springer
139views Education» more  CORR 2010»
13 years 8 months ago
Fast Overlapping Group Lasso
The group Lasso is an extension of the Lasso for feature selection on (predefined) non-overlapping groups of features. The non-overlapping group structure limits its applicability...
Jun Liu, Jieping Ye
JMM2
2006
111views more  JMM2 2006»
13 years 8 months ago
A Microscopic Telepathology System for Multiresolution Computer-Aided Diagnostics
The aim of the presented system is simplification and speedup of the daily pathological examination routine. The system combines telepathology with computer-aided diagnostics algor...
Grigory Begelman, Michael Pechuk, Ehud Rivlin, Edm...