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TNN
2010
171views Management» more  TNN 2010»
14 years 11 months ago
Sensitivity versus accuracy in multiclass problems using memetic Pareto evolutionary neural networks
This paper proposes a multiclassification algorithm using multilayer perceptron neural network models. It tries to boost two conflicting main objectives of multiclassifiers: a high...
Juan Carlos Fernández Caballero, Francisco ...
ICML
2008
IEEE
16 years 5 months ago
Localized multiple kernel learning
Recently, instead of selecting a single kernel, multiple kernel learning (MKL) has been proposed which uses a convex combination of kernels, where the weight of each kernel is opt...
Ethem Alpaydin, Mehmet Gönen
120
Voted
ISM
2006
IEEE
92views Multimedia» more  ISM 2006»
15 years 10 months ago
Strategies for Efficient Streaming in Delay-Tolerant Multimedia Applications
We consider Multimedia applications where clients specify a minimum desired stream rate (quality) and a time till when they are willing to wait, termed delay tolerance. The Conten...
Saraswathi Krithivasan, Sridhar Iyer
IJCV
2006
206views more  IJCV 2006»
15 years 4 months ago
Random Sampling for Subspace Face Recognition
Subspacefacerecognitionoftensuffersfromtwoproblems:(1)thetrainingsamplesetissmallcompared with the high dimensional feature vector; (2) the performance is sensitive to the subspace...
Xiaogang Wang, Xiaoou Tang
138
Voted
CVPR
2009
IEEE
16 years 11 months ago
Let the Kernel Figure it Out; Principled Learning of Pre-processing for Kernel Classifiers
Most modern computer vision systems for high-level tasks, such as image classification, object recognition and segmentation, are based on learning algorithms that are able to se...
Peter V. Gehler, Sebastian Nowozin