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JMLR
2006
156views more  JMLR 2006»
13 years 7 months ago
Large Scale Multiple Kernel Learning
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...
Sören Sonnenburg, Gunnar Rätsch, Christi...
CGO
2007
IEEE
14 years 1 months ago
Loop Optimization using Hierarchical Compilation and Kernel Decomposition
The increasing complexity of hardware features for recent processors makes high performance code generation very challenging. In particular, several optimization targets have to b...
Denis Barthou, Sébastien Donadio, Patrick C...
KDD
2009
ACM
230views Data Mining» more  KDD 2009»
14 years 7 months ago
Cross domain distribution adaptation via kernel mapping
When labeled examples are limited and difficult to obtain, transfer learning employs knowledge from a source domain to improve learning accuracy in the target domain. However, the...
ErHeng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiang...
ICIP
2010
IEEE
13 years 5 months ago
Tensor-based image diffusions derived from generalizations of the Total Variation and Beltrami Functionals
We introduce a novel functional for vector-valued images that generalizes several variational methods, such as the Total Variation and Beltrami Functionals. This functional is bas...
Anastasios Roussos, Petros Maragos
IV
2006
IEEE
210views Visualization» more  IV 2006»
14 years 1 months ago
FFT and Convolution Performance in Image Filtering on GPU
Many contemporary visualization tools comprise some image filtering approach. Since image filtering approaches are very computationally demanding, the acceleration using graphic...
Ondirej Fialka, Martin Cadík