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» Approximating Component Selection
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ICML
2008
IEEE
16 years 3 months ago
Gaussian process product models for nonparametric nonstationarity
Stationarity is often an unrealistic prior assumption for Gaussian process regression. One solution is to predefine an explicit nonstationary covariance function, but such covaria...
Ryan Prescott Adams, Oliver Stegle
CCIA
2005
Springer
15 years 8 months ago
Direct Policy Search Reinforcement Learning for Robot Control
— This paper proposes a high-level Reinforcement Learning (RL) control system for solving the action selection problem of an autonomous robot. Although the dominant approach, whe...
Andres El-Fakdi, Marc Carreras, Narcís Palo...
IJSNET
2008
125views more  IJSNET 2008»
15 years 3 months ago
Minimum-cost sensor arrangement for achieving wanted coverage lifetime
: Suppose we need to watch a set of targets continuously for a required period of time, and suppose we choose any number of sensors from a fixed set of sensor types and place them ...
Jie Wang, Ning Zhong
TIP
1998
109views more  TIP 1998»
15 years 2 months ago
Optimum design of chamfer distance transforms
—The distance transform has found many applications in image analysis. Chamfer distance transforms are a class of discrete algorithms that offer a good approximation to the desir...
Muhammad Akmal Butt, Petros Maragos
ICA
2007
Springer
15 years 7 months ago
Phase-Aware Non-negative Spectrogram Factorization
Non-negative spectrogram factorization has been proposed for single-channel source separation tasks. These methods operate on the magnitude or power spectrogram of the input mixtur...
R. Mitchell Parry, Irfan A. Essa