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ICPR
2010
IEEE
14 years 10 months ago
Estimating Apparent Motion on Satellite Acquisitions with a Physical Dynamic Model
The paper presents a motion estimation method based on data assimilation in a dynamic model, named Image Model, expressing the physical evolution of a quantity observed on the ima...
Etienne G. Huot, Isabelle Herlin, Nicolas Mercier,...
ECCV
2004
Springer
16 years 1 months ago
A Robust Probabilistic Estimation Framework for Parametric Image Models
Models of spatial variation in images are central to a large number of low-level computer vision problems including segmentation, registration, and 3D structure detection. Often, i...
Maneesh Kumar Singh, Himanshu Arora, Narendra Ahuj...
CORR
2008
Springer
90views Education» more  CORR 2008»
14 years 12 months ago
Dynamic data models: an application of MOP-based persistence in Common Lisp
The data model of an application, the nature and format of data stored across executions, is typically a very rigid part of its early specication, even when prototyping, and chang...
Pierre Thierry, Simon E. B. Thierry
JMLR
2012
13 years 2 months ago
Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics
We consider the task of estimating, from observed data, a probabilistic model that is parameterized by a finite number of parameters. In particular, we are considering the situat...
Michael Gutmann, Aapo Hyvärinen
CIVR
2006
Springer
219views Image Analysis» more  CIVR 2006»
15 years 3 months ago
Bayesian Learning of Hierarchical Multinomial Mixture Models of Concepts for Automatic Image Annotation
We propose a novel Bayesian learning framework of hierarchical mixture model by incorporating prior hierarchical knowledge into concept representations of multi-level concept struc...
Rui Shi, Tat-Seng Chua, Chin-Hui Lee, Sheng Gao