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» Parameter space exploration with Gaussian process trees
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ICIP
2004
IEEE
14 years 9 months ago
Tikhonov regularization versus scale space: A new result
It is well-known that scale space theory and Tikhonov regularization are close-knit. In previous studies qualitative analogies and formal relations had already been found, but non...
Luc Florack, Remco Duits, Joris Bierkens
ICRA
2009
IEEE
227views Robotics» more  ICRA 2009»
14 years 2 months ago
Adaptive autonomous control using online value iteration with gaussian processes
— In this paper, we present a novel approach to controlling a robotic system online from scratch based on the reinforcement learning principle. In contrast to other approaches, o...
Axel Rottmann, Wolfram Burgard
IJCAI
2003
13 years 8 months ago
Gaussian Process Models of Spatial Aggregation Algorithms
Multi-level spatial aggregates are important for data mining in a variety of scientific and engineering applications, from analysis of weather data (aggregating temperature and p...
Naren Ramakrishnan, Christopher Bailey-Kellogg
NIPS
2003
13 years 8 months ago
Nonstationary Covariance Functions for Gaussian Process Regression
We introduce a class of nonstationary covariance functions for Gaussian process (GP) regression. Nonstationary covariance functions allow the model to adapt to functions whose smo...
Christopher J. Paciorek, Mark J. Schervish
ASPDAC
2008
ACM
92views Hardware» more  ASPDAC 2008»
13 years 9 months ago
Design space exploration for a coarse grain accelerator
- In the design process of a reconfigurable accelerator employing in an embedded system, multitude parameters may result in remarkable complexity and a large design space. Design s...
Farhad Mehdipour, Hamid Noori, Morteza Saheb Zaman...