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» Kernels for Semi-Structured Data
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IROS
2009
IEEE
186views Robotics» more  IROS 2009»
14 years 4 months ago
A statistical approach to gas distribution modelling with mobile robots - The Kernel DM+V algorithm
— Gas distribution modelling constitutes an ideal application area for mobile robots, which – as intelligent mobile gas sensors – offer several advantages compared to station...
Achim J. Lilienthal, Matteo Reggente, Marco Trinca...
TSE
1998
114views more  TSE 1998»
13 years 9 months ago
KLAIM: A Kernel Language for Agents Interaction and Mobility
—We investigate the issue of designing a kernel programming language for mobile computing and describe KLAIM, a language that supports a programming paradigm where processes, lik...
Rocco De Nicola, Gian Luigi Ferrari, Rosario Pugli...
FCCM
1997
IEEE
118views VLSI» more  FCCM 1997»
14 years 2 months ago
Computing kernels implemented with a wormhole RTR CCM
The Wormhole Run-Time Reconfiguration (RTR) computing paradigm is a method for creating high performance computational pipelines. The scalability, distributed control and data pow...
Ray Bittner, Peter M. Athanas
ISNN
2007
Springer
14 years 4 months ago
Extensions of Manifold Learning Algorithms in Kernel Feature Space
Manifold learning algorithms have been proven to be capable of discovering some nonlinear structures. However, it is hard for them to extend to test set directly. In this paper, a ...
Yaoliang Yu, Peng Guan, Liming Zhang
NIPS
2008
13 years 11 months ago
Kernelized Sorting
Object matching is a fundamental operation in data analysis. It typically requires the definition of a similarity measure between the classes of objects to be matched. Instead, we...
Novi Quadrianto, Le Song, Alex J. Smola