Sciweavers

1748 search results - page 33 / 350
» Acceleration of the EM algorithm
Sort
View
ASAP
2006
IEEE
169views Hardware» more  ASAP 2006»
15 years 7 months ago
A Design Methodology for Hardware Acceleration of Adaptive Filter Algorithms in Image Processing
Massively parallel processor array architectures can be used as hardware accelerators for a plenty of dataflow dominant applications. Bilateral filtering is an example of a stat...
Hritam Dutta, Frank Hannig, Jürgen Teich, Ben...
CORR
2011
Springer
174views Education» more  CORR 2011»
14 years 5 months ago
Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...
Yoshitaka Kameya, Taisuke Sato
ICPR
2008
IEEE
16 years 2 months ago
Component-wise parameter smoothing for learning mixture models
In this paper, we propose a novel component-wise smoothing algorithm that constructs a hierarchy (or family) of smoothened log-likelihood surfaces. Our approach first smoothens th...
Bala Rajaratnam, Chandan K. Reddy
ICPR
2008
IEEE
16 years 2 months ago
Exploiting qualitative domain knowledge for learning Bayesian network parameters with incomplete data
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...
Qiang Ji, Wenhui Liao
ISBI
2008
IEEE
16 years 2 months ago
A mathematical framework for incorporating anatomical knowledge in DT-MRI analysis
We propose a Bayesian approach to incorporate anatomical information in the clustering of fiber trajectories. An expectationmaximization (EM) algorithm is used to cluster the traj...
Carl-Fredrik Westin, Lilla Zöllei, Mahnaz Mad...