783 search results - page 26 / 157 » A Method of Hidden Markov Model Optimization for Use with Ge... |
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
We introduce an expectation maximizationtype (EM) algorithm for maximum likelihood optimization of conditional densities. It is applicable to hidden variable models where the dist...
ICIP
2008
IEEE
14 years 9 months ago
2008
IEEE
The extraction of contours using deformable models, such as snakes, is a problem of great interest in computer vision, particular in areas of medical imaging and tracking. Snakes ...
TSP
2010
13 years 2 months ago
2010
We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...
RECOMB
2006
Springer
14 years 8 months ago
2006
Springer
Abstract. So far, most methods for identifying sequences under selection based on comparative sequence data have either assumed selectional pressures are the same across all branch...
ICCAD
2008
IEEE
14 years 4 months ago
2008
IEEE
— Leveraging the power of scratchpad memories (SPMs) available in most embedded systems today is crucial to extract maximum performance from application programs. While regular a...