1895 search results - page 116 / 379 » Function learning from interpolation |
CORR
2006
Springer
14 years 10 months ago
2006
Springer
Many real world data are sampled functions. As shown by Functional Data Analysis (FDA) methods, spectra, time series, images, gesture recognition data, etc. can be processed more e...
ICIP
2007
IEEE
15 years 11 months ago
2007
IEEE
Different from appearance-based methods, clustering feature points only by their motion coherence is an emerging category of approach to detecting and tracking individuals among c...
ICPR
2008
IEEE
15 years 11 months ago
2008
IEEE
When a large amount of data are missing, or when multiple hidden nodes exist, learning parameters in Bayesian networks (BNs) becomes extremely difficult. This paper presents a lea...
FBIT
2007
IEEE
15 years 4 months ago
2007
IEEE
The paper describes our first experiments on Reinforcement Learning to steer a real robot car. The applied method, Neural Fitted Q Iteration (NFQ) is purely data-driven based on ...
JMLR
2006
14 years 10 months ago
2006
Spectral clustering refers to a class of techniques which rely on the eigenstructure of a similarity matrix to partition points into disjoint clusters, with points in the same clu...