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CVPR
2009
IEEE
15 years 4 months ago
Shared Kernel Information Embedding for Discriminative Inference
Latent Variable Models (LVM), like the Shared-GPLVM and the Spectral Latent Variable Model, help mitigate over- fitting when learning discriminative methods from small or modera...
David J. Fleet, Leonid Sigal, Roland Memisevic
ICPP
2009
IEEE
14 years 3 months ago
Load Balance in the Phylogenetic Likelihood Kernel
—Recent advances in DNA sequencing techniques have led to an unprecedented accumulation and availability of molecular sequence data that needs to be analyzed. This data explosion...
Alexandros Stamatakis, Michael Ott
APPT
2009
Springer
14 years 3 months ago
Performance Improvement of Multimedia Kernels by Alleviating Overhead Instructions on SIMD Devices
SIMD extension is one of the most common and effective technique to exploit data-level parallelism in today’s processor designs. However, the performance of SIMD architectures i...
Asadollah Shahbahrami, Ben H. H. Juurlink
GPCE
2007
Springer
14 years 3 months ago
Oz/K: a kernel language for component-based open programming
Programming in an open environment remains challenging because it requires combining modularity, security, concurrency, distribution, and dynamicity. In this paper, we propose an ...
Michael Lienhardt, Alan Schmitt, Jean-Bernard Stef...
SAMOS
2004
Springer
14 years 2 months ago
A Novel Data-Path for Accelerating DSP Kernels
A high-performance data-path to implement DSP kernels is proposed in this paper. The data-path is based on a flexible, universal, and regular component to optimally exploiting both...
Michalis D. Galanis, George Theodoridis, Spyros Tr...