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» Twin Kernel Embedding
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ICTAC
2010
Springer
13 years 6 months ago
Formal Modelling of Separation Kernel Components
Abstract. Separation kernels are key components in embedded applications. Their small size and widespread use in high-integrity environments make them good targets for formal model...
Andrius Velykis, Leo Freitas
CVPR
2011
IEEE
13 years 3 months ago
Graph Embedding Discriminant Analysis on Grassmannian Manifolds for Improved Image Set Matching
A convenient way of dealing with image sets is to represent them as points on Grassmannian manifolds. While several recent studies explored the applicability of discriminant analy...
Mehrtash Harandi, Sareh, Shirazi (National ICT Aus...
ICML
2002
IEEE
14 years 8 months ago
Learning the Kernel Matrix with Semi-Definite Programming
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
Gert R. G. Lanckriet, Nello Cristianini, Peter L. ...
IPPS
2009
IEEE
14 years 2 months ago
Singular value decomposition on GPU using CUDA
Linear algebra algorithms are fundamental to many computing applications. Modern GPUs are suited for many general purpose processing tasks and have emerged as inexpensive high per...
Sheetal Lahabar, P. J. Narayanan
CASES
2005
ACM
13 years 9 months ago
Energy aware kernel for hard real-time systems
Embedded systems often have severe power and energy constraints. Dynamic voltage scaling (DVS) is a mechanism by which energy consumption may be reduced. In this paper, we impleme...
A. Goel, C. Mani Krishna, Israel Koren