2346 search results - page 111 / 470 » Hierarchical State Machines |
SODA
1998
ACM
13 years 10 months ago
1998
ACM
We develop data structures for dynamic closest pair problems with arbitrary (not necessarily geometric) distance functions, based on a technique previously used by the author for ...
GECCO
2008
Springer
13 years 10 months ago
2008
Springer
We propose an algorithm for function approximation that evolves a set of hierarchical piece-wise linear regressors. The algorithm, named HIRE-Lin, follows the iterative rule learn...
ICASSP
2010
IEEE
13 years 9 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...
ICASSP
2010
IEEE
13 years 9 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 ...
ICCTA
2007
IEEE
2007
IEEE
Digital Signal Types Identification Using a Hierarchical SVM-Based Classifier and Efficient Features
13 years 9 months ago
Automatic digital signal type identification (ADSTI) is an important topic for both military and civilian communication applications. Most of proposed techniques (identifiers) can...