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NIPS
2001
13 years 7 months ago
A kernel method for multi-labelled classification
This article presents a Support Vector Machine (SVM) like learning system to handle multi-label problems. Such problems are usually decomposed into many two-class problems but the...
André Elisseeff, Jason Weston
HPCN
1997
Springer
13 years 10 months ago
Evaluation of High Performance Fortran Through Application Kernels
Since the de nition of the High Performance Fortran HPF standard, we have been maintaining a suite of application kernel codes with the aim of using them to evaluate the availabl...
H. W. Yau, Geoffrey Fox, Kenneth A. Hawick
CVPR
2007
IEEE
14 years 7 months ago
Kernel Sharing With Joint Boosting For Multi-Class Concept Detection
Object/scene detection by discriminative kernel-based classification has gained great interest due to its promising performance and flexibility. In this paper, unlike traditional ...
Wei Jiang, Shih-Fu Chang, Alexander C. Loui
AAAI
2007
13 years 8 months ago
Kernel Regression with Order Preferences
We propose a novel kernel regression algorithm which takes into account order preferences on unlabeled data. Such preferences have the form that point x1 has a larger target value...
Xiaojin Zhu, Andrew B. Goldberg
ECCV
2002
Springer
14 years 7 months ago
Robust Computer Vision through Kernel Density Estimation
Abstract. Two new techniques based on nonparametric estimation of probability densities are introduced which improve on the performance of equivalent robust methods currently emplo...
Haifeng Chen, Peter Meer