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SASP
2009
IEEE
291views Hardware» more  SASP 2009»
14 years 3 months ago
FCUDA: Enabling efficient compilation of CUDA kernels onto FPGAs
— As growing power dissipation and thermal effects disrupted the rising clock frequency trend and threatened to annul Moore’s law, the computing industry has switched its route...
Alexandros Papakonstantinou, Karthik Gururaj, John...
IROS
2009
IEEE
186views Robotics» more  IROS 2009»
14 years 3 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...
NECO
1998
151views more  NECO 1998»
13 years 8 months ago
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
We describe a new method for performing a nonlinear form of Principal Component Analysis. By the use of integral operator kernel functions, we can e ciently compute principal comp...
Bernhard Schölkopf, Alex J. Smola, Klaus-Robe...
SSPR
2010
Springer
13 years 6 months ago
Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
André F. T. Martins, Manuele Bicego, Vittor...
ICS
2009
Tsinghua U.
14 years 3 months ago
High-performance CUDA kernel execution on FPGAs
In this work, we propose a new FPGA design flow that combines the CUDA programming model from Nvidia with the state of the art high-level synthesis tool AutoPilot from AutoESL, to...
Alexandros Papakonstantinou, Karthik Gururaj, John...