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» MultiK-MHKS: A Novel Multiple Kernel Learning Algorithm
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CVPR
2010
IEEE
14 years 12 months ago
Visual classification with multi-task joint sparse representation
We address the problem of computing joint sparse representation of visual signal across multiple kernel-based representations. Such a problem arises naturally in supervised visual...
Xiaotong Yuan, Shuicheng Yan
ENC
2006
IEEE
15 years 8 months ago
Cleaning Training-Datasets with Noise-Aware Algorithms
We introduce a novel learning algorithm for noise elimination. Our algorithm is based on the re-measurement idea for the correction of erroneous observations and is able to discri...
H. Jair Escalante
ICML
2004
IEEE
16 years 2 months ago
Decentralized detection and classification using kernel methods
We consider the problem of decentralized detection under constraints on the number of bits that can be transmitted by each sensor. In contrast to most previous work, in which the ...
XuanLong Nguyen, Martin J. Wainwright, Michael I. ...
MLDM
2007
Springer
15 years 8 months ago
Outlier Detection with Kernel Density Functions
Abstract. Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel unsupervised algorithm for outlier detec...
Longin Jan Latecki, Aleksandar Lazarevic, Dragolju...
EUROSYS
2007
ACM
15 years 11 months ago
Dynamic and adaptive updates of non-quiescent subsystems in commodity operating system kernels
Continuously running systems require kernel software updates applied to them without downtime. Facilitating fast reboots, or delaying an update may not be a suitable solution in m...
Kristis Makris, Kyung Dong Ryu