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» An approximate Minimum MOSPA estimator
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DIS
2001
Springer
14 years 2 months ago
Towards a Method of Searching a Diverse Theory Space for Scientific Discovery
Scientists need customizable tools to help them with discovery. We present an adjustable heuristic function for scientific discovery. This function may be considered in either a Mi...
Joseph Phillips
ISCAS
1999
IEEE
177views Hardware» more  ISCAS 1999»
14 years 2 months ago
Obtaining digital gradient signals for analog adaptive filters
Analog adaptive filters with digitally programmable coefficients can provide speed, power, and area advantages over digital adaptive filters while overcoming the dc offset problem...
Anthony Chan Carusone, David A. Johns
ESANN
2008
13 years 11 months ago
Multilayer Perceptrons with Radial Basis Functions as Value Functions in Reinforcement Learning
Using multilayer perceptrons (MLPs) to approximate the state-action value function in reinforcement learning (RL) algorithms could become a nightmare due to the constant possibilit...
Victor Uc Cetina
CEC
2011
IEEE
12 years 9 months ago
Stochastic Natural Gradient Descent by estimation of empirical covariances
—Stochastic relaxation aims at finding the minimum of a fitness function by identifying a proper sequence of distributions, in a given model, that minimize the expected value o...
Luigi Malagò, Matteo Matteucci, Giovanni Pi...
TIP
2002
126views more  TIP 2002»
13 years 9 months ago
Template matching based object recognition with unknown geometric parameters
In this paper, we examine the problem of locating an object in an image when size and rotation are unknown. Previous work has shown that with known geometric parameters, an image r...
Roger M. Dufour, Eric L. Miller, Nikolas P. Galats...