Sciweavers

1731 search results - page 125 / 347
» Maximum likelihood analysis of algorithms and data structure...
Sort
View
IBPRIA
2003
Springer
14 years 1 months ago
A 3D Ultrasound System for Medical Diagnosis
This paper presents a system for 3D ultrasound which aims to reconstruct a volume of interest from a set of ultrasound images. A Bayesian reconstruction algorithm has been recently...
João M. Sanches, Jorge S. Marques, Fausto P...
ICML
1999
IEEE
14 years 9 months ago
Monte Carlo Hidden Markov Models: Learning Non-Parametric Models of Partially Observable Stochastic Processes
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
Sebastian Thrun, John Langford, Dieter Fox
UAI
1997
13 years 9 months ago
Update Rules for Parameter Estimation in Bayesian Networks
This paper re-examines the problem of parameter estimation in Bayesian networks with missing values and hidden variables from the perspective of recent work in on-line learning [1...
Eric Bauer, Daphne Koller, Yoram Singer
CBMS
2005
IEEE
14 years 1 months ago
Grid Computing in 3D-EM Image Processing Using Xmipp
Image processing in three-dimensional electron microscopy (3D-EM) is characterized by large amounts of data, and voluminous computing requirements. Here, we report our first exper...
Sjors H. W. Scheres, A. J. Merino, Carlos Oscar S&...
ICML
2010
IEEE
13 years 9 months ago
Non-Local Contrastive Objectives
Pseudo-likelihood and contrastive divergence are two well-known examples of contrastive methods. These algorithms trade off the probability of the correct label with the probabili...
David Vickrey, Cliff Chiung-Yu Lin, Daphne Koller