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» Kernels for Semi-Structured Data
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122
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DC
2001
15 years 4 months ago
A Metadata Kernel for Electronic Permanence
This paper presents a streamlined metadata record format designed to support the permanence of network discoverable objects. It starts with the Dublin Core consensus and distills ...
John A. Kunze
95
Voted
NIPS
2001
15 years 4 months ago
Stochastic Mixed-Signal VLSI Architecture for High-Dimensional Kernel Machines
A mixed-signal paradigm is presented for high-resolution parallel innerproduct computation in very high dimensions, suitable for efficient implementation of kernels in image proce...
Roman Genov, Gert Cauwenberghs
126
Voted
EMNLP
2009
15 years 12 days ago
Reverse Engineering of Tree Kernel Feature Spaces
We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...
Daniele Pighin, Alessandro Moschitti
99
Voted
CVPR
2001
IEEE
16 years 4 months ago
Adaptive Quasiconformal Kernel Metric for Image Retrieval
This paper presents a new approach to ranking relevant images for retrieval. Distance in the feature space associated with a kernel is used to rank relevant images. An adaptive qu...
Douglas R. Heisterkamp, Jing Peng, H. K. Dai
102
Voted
ICML
2007
IEEE
16 years 3 months ago
Multiclass multiple kernel learning
In many applications it is desirable to learn from several kernels. "Multiple kernel learning" (MKL) allows the practitioner to optimize over linear combinations of kern...
Alexander Zien, Cheng Soon Ong