189 search results - page 10 / 38 » Combining Multiple Kernels by Augmenting the Kernel Matrix |
CORR
2010
Springer
14 years 6 months ago
2010
Springer
Recent research on multiple kernel learning has lead to a number of approaches for combining kernels in regularized risk minimization. The proposed approaches include different for...
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CORR
2011
Springer
14 years 6 months ago
2011
Springer
Scaling up the sparse matrix-vector multiplication kernel on modern Graphics Processing Units (GPU) has been at the heart of numerous studies in both academia and industry. In thi...
114
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ICCS
2009
Springer
15 years 6 months ago
2009
Springer
The development of optimized codes is time-consuming and requires extensive architecture, compiler, and language expertise, therefore, computational scientists are often forced to ...
ICCV
2007
IEEE
15 years 6 months ago
2007
IEEE
Kernel classifiers based on Support Vector Machines (SVM) have recently achieved state-of-the art results on several popular datasets like Caltech or Pascal. This was possible by...
ICML
2006
IEEE
16 years 16 days ago
2006
IEEE
The power and popularity of kernel methods stem in part from their ability to handle diverse forms of structured inputs, including vectors, graphs and strings. Recently, several m...