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» A Training Method with Small Computation for Classification
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BIB
2011
12 years 11 months ago
Using cross-validation to evaluate predictive accuracy of survival risk classifiers based on high-dimensional data
Developments in whole genome biotechnology have stimulated statistical focus on prediction methods. We review here methodology for classifying patients into survival risk groups a...
Richard M. Simon, Jyothi Subramanian, Ming-Chung L...
ACCV
2006
Springer
14 years 1 months ago
Inducing Semantic Segmentation from an Example
Segmenting an image into semantically meaningful parts is a fundamental and challenging task in computer vision. Automatic methods are able to segment an image into coherent region...
Yaar Schnitman, Yaron Caspi, Daniel Cohen-Or, Dani...
3DOR
2010
13 years 2 months ago
Learning the Compositional Structure of Man-Made Objects for 3D Shape Retrieval
While approaches based on local features play a more and more important role for 3D shape retrieval, the problems of feature selection and similarity measurement between sets of l...
Raoul Wessel, Reinhard Klein
ICTAI
2008
IEEE
14 years 2 months ago
The Performance of Approximating Ordinary Differential Equations by Neural Nets
—The dynamics of many systems are described by ordinary differential equations (ODE). Solving ODEs with standard methods (i.e. numerical integration) needs a high amount of compu...
Josef Fojdl, Rüdiger W. Brause
ISCAPDCS
2004
13 years 9 months ago
Detecting Grid-Abuse Attacks by Source-based Monitoring
While it provides the unprecedented processing power to solve many large scale computational problems, GRID, if abused, has the potential to easily be used to launch (for instance...
Jianjia Wu, Dan Cheng, Wei Zhao