189 search results - page 20 / 38 » Combining Multiple Kernels by Augmenting the Kernel Matrix |
114
Voted
CVPR
2010
IEEE
15 years 8 months ago
2010
IEEE
Several object categorization algorithms use kernel methods over multiple cues, as they offer a principled approach to combine multiple cues, and to obtain state-of-theart perform...
109
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FPGA
2005
ACM
15 years 5 months ago
2005
ACM
Floating-point Sparse Matrix-Vector Multiplication (SpMXV) is a key computational kernel in scientific and engineering applications. The poor data locality of sparse matrices sig...
ICML
2005
IEEE
16 years 17 days ago
2005
IEEE
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
SC
2009
ACM
15 years 6 months ago
2009
ACM
Memory bandwidth limits the performance of important kernels in many scientific applications. Such applications often use sequences of Basic Linear Algebra Subprograms (BLAS), an...
SOSP
2005
ACM
15 years 8 months ago
2005
ACM
This paper presents the design and an evaluation of Mondrix, a version of the Linux kernel with Mondriaan Memory Protection (MMP). MMP is a combination of hardware and software th...