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» Selectivity Estimation using Probabilistic Models
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PAMI
1998
141views more  PAMI 1998»
14 years 11 months ago
A Probabilistic Approach to the Coupled Reconstruction and Restoration of Underwater Acoustic Images
—This paper describes a probabilistic technique for the coupled reconstruction and restoration of underwater acoustic images. The technique is founded on the physics of the image...
Vittorio Murino, Andrea Trucco, Carlo S. Regazzoni
CP
2004
Springer
15 years 5 months ago
Heuristic Selection for Stochastic Search Optimization: Modeling Solution Quality by Extreme Value Theory
The success of stochastic algorithms is often due to their ability to effectively amplify the performance of search heuristics. This is certainly the case with stochastic sampling ...
Vincent A. Cicirello, Stephen F. Smith
ICPR
2006
IEEE
16 years 1 months ago
Multi-View Active Shape Model with Robust Parameter Estimation
Active Shape Model is an efficient way for localizing objects with variable shapes. When ASM is extended to multiview cases, the parameter estimation approaches in previous works ...
Li Zhang, Haizhou Ai
BMCBI
2010
146views more  BMCBI 2010»
15 years 2 hour ago
Genomic selection and complex trait prediction using a fast EM algorithm applied to genome-wide markers
Background: The information provided by dense genome-wide markers using high throughput technology is of considerable potential in human disease studies and livestock breeding pro...
Ross K. Shepherd, Theo H. E. Meuwissen, John A. Wo...
SOCO
2008
Springer
14 years 11 months ago
A particular Gaussian mixture model for clustering and its application to image retrieval
We introduce a new method for data clustering based on a particular Gaussian mixture model (GMM). Each cluster of data, modeled as a GMM into an input space, is interpreted as a hy...
Hichem Sahbi