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ICPR
2010
IEEE
15 years 2 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 6 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»
15 years 4 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 6 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 8 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