1416 search results - page 68 / 284 » The Kernel Least-Mean-Square Algorithm |
JCP
2008
14 years 9 months ago
2008
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
IPPS
2007
IEEE
15 years 4 months ago
2007
IEEE
Automatic library generators, such as ATLAS [11], Spiral [8] and FFTW [2], are promising technologies to generate efficient code for different computer architectures. The library...
104
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ICCV
2005
IEEE
15 years 3 months ago
2005
IEEE
We address the problem of seeking the global mode of a density function using the mean shift algorithm. Mean shift, like other gradient ascent optimisation methods, is susceptible...
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
Kernel methods have been widely studied in the field of pattern recognition. These methods implicitly map, "the kernel trick," the data into a space which is more approp...
79
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ICML
2006
IEEE
15 years 10 months 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...