5082 search results - page 383 / 1017 » Hierarchical Genetic Algorithms |
208
click to vote
ICASSP
2010
IEEE
15 years 7 months ago
2010
IEEE
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
189
click to vote
ICASSP
2010
IEEE
15 years 7 months ago
2010
IEEE
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
182
click to vote
CORR
2006
Springer
15 years 6 months ago
2006
Springer
Dense sub-graphs of sparse graphs (communities), which appear in most real-world complex networks, play an important role in many contexts. Most existing community detection algori...
197
click to vote
PAMI
2006
15 years 6 months ago
2006
This paper sets out a tracking framework, which is applied to the recovery of threedimensional hand motion from an image sequence. The method handles the issues of initialization,...
176
click to vote
TFS
2008
15 years 6 months ago
2008
Abstract--Since the fuzzy cerebellar model articulation controller (FCMAC) uses linguistic variables, it is highly intuitive and easily comprehended. Despite the FCMAC's good ...