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» From Features to Semantics: Some Preliminary Results
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ML
2006
ACM
121views Machine Learning» more  ML 2006»
14 years 9 months ago
Model-based transductive learning of the kernel matrix
This paper addresses the problem of transductive learning of the kernel matrix from a probabilistic perspective. We define the kernel matrix as a Wishart process prior and construc...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
SIAMIS
2010
138views more  SIAMIS 2010»
14 years 4 months ago
Multiscale Photon-Limited Spectral Image Reconstruction
Abstract. This paper studies photon-limited spectral intensity estimation and proposes a spatially and spectrally adaptive, nonparametric method for estimating spectral intensities...
Kalyani Krishnamurthy, Maxim Raginsky, Rebecca Wil...
INFORMATICALT
2002
91views more  INFORMATICALT 2002»
14 years 9 months ago
Bayesian Heuristic Approach to Scheduling
Abstract. Real life scheduling problems are solved by heuristics with parameters defined by experts, as usual. In this paper a new approach is proposed where the parameters of vari...
Jonas Mockus
ECOOP
2000
Springer
15 years 2 months ago
Copying and Comparing: Problems and Solutions
In object oriented programming, it is sometimes necessary to copy objects and to compare them for equality or inequality. We discuss some of the issues involved in copying and comp...
Peter Grogono, Markku Sakkinen
CASES
2005
ACM
14 years 11 months ago
Segment protection for embedded systems using run-time checks
The lack of virtual memory protection is a serious source of unreliability in many embedded systems. Without the segment-level protection it provides, these systems are subject to...
Matthew Simpson, Bhuvan Middha, Rajeev Barua