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» Kernelization of packing problems
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ICML
2006
IEEE
16 years 19 days ago
Learning a kernel function for classification with small training samples
When given a small sample, we show that classification with SVM can be considerably enhanced by using a kernel function learned from the training data prior to discrimination. Thi...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
MMM
2009
Springer
186views Multimedia» more  MMM 2009»
15 years 6 months ago
A New Multiple Kernel Approach for Visual Concept Learning
In this paper, we present a novel multiple kernel method to learn the optimal classification function for visual concept. Although many carefully designed kernels have been propose...
Jingjing Yang, Yuanning Li, YongHong Tian, Lingyu ...
IEEECIT
2006
IEEE
15 years 5 months ago
A Trap-based Mechanism for Runtime Kernel Modification
Runtime modification of kernel code is a difficult problem. However, the need of modifiable kernel is increasing because new requirements and services that are unanticipated at th...
Young-Pil Kim, Jin-Hee Choi, Chuck Yoo
JEC
2006
73views more  JEC 2006»
14 years 11 months ago
Frame packing algorithms for automotive applications
The set of frames exchanged in automotive applications must meet two constraints: it has to be feasible from a schedulability point of view and it should minimize the network bandw...
Rishi Saket, Nicolas Navet
ICPR
2006
IEEE
15 years 5 months ago
Regularized Locality Preserving Learning of Pre-Image Problem in Kernel Principal Component Analysis
In this paper, we address the pre-image problem in kernel principal component analysis (KPCA). The preimage problem finds a pattern as the pre-image of a feature vector defined in...
Weishi Zheng, Jian-Huang Lai