878 search results - page 162 / 176 » Continuous Gaussian Mixture Modeling |
JMLR
2010
13 years 4 months ago
2010
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
ICIP
2007
IEEE
14 years 11 months ago
2007
IEEE
In this paper a probabilistic technique for compensation of intensity loss in the confocal microscopy images is presented. Confocal microscopy images are modeled as a mixture of t...
PAMI
1998
13 years 9 months ago
1998
—It is well-known that the linear scale-space theory in computer vision is mainly based on the Gaussian kernel. The purpose of the paper is to propose a scale-space theory based ...
NIPS
2007
13 years 11 months ago
2007
The peristimulus time histogram (PSTH) and its more continuous cousin, the spike density function (SDF) are staples in the analytic toolkit of neurophysiologists. The former is us...
GECCO
2008
Springer
13 years 10 months ago
2008
Springer
This paper presents a theoretical definition for designing EDAs called Elitist Convergent Estimation of Distribution Algorithm (ECEDA), and a practical implementation: the Boltzm...