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NN
2010
Springer
187views Neural Networks» more  NN 2010»
13 years 2 months ago
Efficient exploration through active learning for value function approximation in reinforcement learning
Appropriately designing sampling policies is highly important for obtaining better control policies in reinforcement learning. In this paper, we first show that the least-squares ...
Takayuki Akiyama, Hirotaka Hachiya, Masashi Sugiya...
ICASSP
2009
IEEE
14 years 2 months ago
Exploring functional connectivity in fMRI via clustering
In this paper we investigate the use of data driven clustering methods for functional connectivity analysis in fMRI. In particular, we consider the K-Means and Spectral Clustering...
Archana Venkataraman, Koene R. A. Van Dijk, Randy ...
ITC
1998
IEEE
94views Hardware» more  ITC 1998»
13 years 12 months ago
A method of serial data jitter analysis using one-shot time interval measurements
A method for measuring inter-symbol interference, duty cycle distortion, random jitter and periodic jitter is described. The Blackman-Tukey method of signal analysis is used. This...
Jan B. Wilstrup
ICMCS
2007
IEEE
194views Multimedia» more  ICMCS 2007»
14 years 1 months ago
Automatically Tuning Background Subtraction Parameters using Particle Swarm Optimization
A common trait of background subtraction algorithms is that they have learning rates, thresholds, and initial values that are hand-tuned for a scenario in order to produce the des...
Brandyn White, Mubarak Shah
ERSA
2003
139views Hardware» more  ERSA 2003»
13 years 9 months ago
Fast Design Space Exploration Method for Reconfigurable Architectures
In this paper we propose an original and fast design space exploration method targeting reconfigurable architectures. This method takes place during the first steps of a design fl...
Lilian Bossuet, Guy Gogniat, Jean Luc Philippe