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ICANN
2001
Springer
15 years 8 months ago
Scalable Kernel Systems
Kernel-based systems are currently very popular approaches to supervised learning. Unfortunately, the computational load for training kernel-based systems increases drastically wit...
Volker Tresp, Anton Schwaighofer
106
Voted
NIPS
2001
15 years 4 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
155
Voted
EMMCVPR
2007
Springer
15 years 9 months ago
Compositional Object Recognition, Segmentation, and Tracking in Video
Abstract. The complexity of visual representations is substantially limited by the compositional nature of our visual world which, therefore, renders learning structured object mod...
Björn Ommer, Joachim M. Buhmann
CVPR
2009
IEEE
16 years 10 months ago
Domain Transfer SVM for Video Concept Detection
Cross-domain learning methods have shown promising results by leveraging labeled patterns from auxiliary domains to learn a robust classifier for target domain, which has a limi...
Dong Xu, Ivor Wai-Hung Tsang, Lixin Duan, Stephen ...
129
Voted
ICML
2010
IEEE
15 years 4 months ago
Multi-Class Pegasos on a Budget
When equipped with kernel functions, online learning algorithms are susceptible to the "curse of kernelization" that causes unbounded growth in the model size. To addres...
Zhuang Wang, Koby Crammer, Slobodan Vucetic