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JMLR
2006
124views more  JMLR 2006»
15 years 6 months ago
A Direct Method for Building Sparse Kernel Learning Algorithms
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...
Mingrui Wu, Bernhard Schölkopf, Gökhan H...
ICIP
2008
IEEE
16 years 8 months ago
Face hallucination VIA sparse coding
In this paper, we address the problem of hallucinating a high resolution face given a low resolution input face. The problem is approached through sparse coding. To exploit the fa...
Jianchao Yang, Hao Tang, Yi Ma, Thomas S. Huang
WOWMOM
2006
ACM
91views Multimedia» more  WOWMOM 2006»
16 years 15 days ago
A Station-Based Adaptation Algorithm to Improve Robustness of IEEE 802.11
This paper studies a Bad Apple phenomenon caused by Head-of-Line blocking in IEEE 802.11 networks. This problem can adversely affect the performance of wireless multimedia streami...
Jean Cao, Yujing Wu, Carey L. Williamson
AUSAI
2007
Springer
15 years 10 months ago
Planning as Satisfiability with Relaxed $-Step Plans
Planning as satisfiability is a powerful approach to solving domain independent planning problems. In this paper, we consider a relaxed semantics for plans with parallel operator a...
Martin Wehrle, Jussi Rintanen
AAAI
2007
15 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