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» Input Modeling Using Quantile Statistical Methods
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ICANN
2005
Springer
16 years 12 hour ago
Accurate and Robust Image Superresolution by Neural Processing of Local Image Representations
Image superresolution involves the processing of an image sequence to generate a still image with higher resolution. Classical approaches, such as bayesian MAP methods, require ite...
Carlos Miravet, Francisco de Borja Rodrígue...
CVIU
2006
166views more  CVIU 2006»
15 years 6 months ago
Non-parametric and light-field deformable models
Statistical shape-and-texture appearance models use image morphing to define a rich, compact representation of object appearance. They are useful in a variety of applications incl...
Chris Mario Christoudias, Louis-Philippe Morency, ...
BIBM
2008
IEEE
175views Bioinformatics» more  BIBM 2008»
16 years 29 days ago
Integrative Protein Function Transfer Using Factor Graphs and Heterogeneous Data Sources
We propose a novel approach for predicting protein functions of an organism by coupling sequence homology and PPI data between two (or more) species with multifunctional Gene Onto...
Antonina Mitrofanova, Vladimir Pavlovic, Bud Mishr...
UAI
2003
15 years 7 months ago
Bayesian Hierarchical Mixtures of Experts
The Hierarchical Mixture of Experts (HME) is a well-known tree-structured model for regression and classification, based on soft probabilistic splits of the input space. In its o...
Christopher M. Bishop, Markus Svensén
IMR
2004
Springer
15 years 12 months ago
A Generalized Graph-Theoretic Mesh Optimization Model
This paper presents a generic approach to mesh global optimization via node movement, based on a discrete graph-theoretic model. Mesh is considered as an electric system with lump...
Andrey A. Mezentsev