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» Approximate Tree Kernels
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128
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CG
2002
Springer
15 years 2 months ago
Analytical methods for polynomial weighted convolution surfaces with various kernels
Convolution surface has the advantage of being crease-free and bulge-free over other kinds of implicit surfaces. Among the various types of skeletal elements, line segments can be...
Xiaogang Jin, Chiew-Lan Tai
166
Voted
JMLR
2010
145views more  JMLR 2010»
14 years 9 months ago
Kernel Partial Least Squares is Universally Consistent
We prove the statistical consistency of kernel Partial Least Squares Regression applied to a bounded regression learning problem on a reproducing kernel Hilbert space. Partial Lea...
Gilles Blanchard, Nicole Krämer
SPAA
1999
ACM
15 years 6 months ago
Time-Constrained Scheduling of Weighted Packets on Trees and Meshes
The time-constrained packet routing problem is to schedule a set of packets to be transmitted through a multinode network, where every packet has a source and a destination (as in ...
Micah Adler, Sanjeev Khanna, Rajmohan Rajaraman, A...
CVPR
2007
IEEE
15 years 8 months ago
Fisher Kernels on Visual Vocabularies for Image Categorization
Within the field of pattern classification, the Fisher kernel is a powerful framework which combines the strengths of generative and discriminative approaches. The idea is to ch...
Florent Perronnin, Christopher R. Dance
125
Voted
NIPS
2008
15 years 3 months ago
Bayesian Kernel Shaping for Learning Control
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakum...