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Ricardo Mediavilla

dblp:84/9374 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1987
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Probabilistic and Bayesian machine learning · 100%
Computer graphics and multimedia
1 paper
Image and video processing · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Probabilistic and Bayesian machine learning › stochastic processes
gaussian process		 0.011987
Image Estimation Using Doubly Stochastic Gaussian Random Field Models · IEEE Trans. Pattern Anal. Mach. Intell. 1987
Image and video processing
image estimation		 0.011987
Image Estimation Using Doubly Stochastic Gaussian Random Field Models · IEEE Trans. Pattern Anal. Mach. Intell. 1987

Methods — techniques the papers use, named apart from their topics

fixed-lag smoother · 0.0doubly stochastic model · 0.0decision-directed estimation · 0.0
YearPublicationVenuePosition
1987 Image Estimation Using Doubly Stochastic Gaussian Random Field Models
abstract
The two-dimensional (2-D) doubly stochastic Gaussian (DSG) model was introduced by one of the authors to provide a complete model for spatial filters which adapt to the local structure in an image signal. Here we present the optimal estimator and 2-D fixed-lag smoother for this DSG model extending earlier work of Ackerson and Fu. As the optimal estimator has an exponentially growing state space, we investigate suboptimal estimators using both a tree and a decision-directed method. Experimental results are presented.
John W. Woods, Subrahmanyam Dravida, Ricardo Mediavilla
 IEEE Trans. Pattern Anal. Mach. Intell.3