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» Constructing Visual Models with a Latent Space Approach
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ECCV
2006
Springer
16 years 3 months ago
Covariant Derivatives and Vision
Abstract. We describe a new theoretical approach to Image Processing and Vision. Expressed in mathemetical terminology, in our formalism image space is a fibre bundle, and the imag...
Todor Georgiev
EPEW
2006
Springer
15 years 5 months ago
Model Checking for a Class of Performance Properties of Fluid Stochastic Models
Abstract. Recently, there is an explosive development of fluid approaches to computer and distributed systems. These approaches are inherently stochastic and generate continuous st...
Manuela L. Bujorianu, Marius C. Bujorianu
VISUALIZATION
1999
IEEE
15 years 5 months ago
Hue-Balls and Lit-Tensors for Direct Volume Rendering of Diffusion Tensor Fields
With the development of magnetic resonance imaging techniques for acquiring diffusion tensor data from biological tissue, visualization of tensor data has become a new research fo...
Gordon L. Kindlmann, David M. Weinstein
ESANN
2008
15 years 3 months ago
Interpretable ensembles of local models for safety-related applications
Abstract. This paper discusses a machine learning approach for binary classification problems which satisfies the specific requirements of safety-related applications. The approach...
Sebastian Nusser, Clemens Otte, Werner Hauptmann
CVPR
2011
IEEE
14 years 5 months ago
Visual textures as realizations of multivariate log-Gaussian Cox processes
In this paper, we address invariant keypoint-based texture characterization and recognition. Viewing keypoint sets associated with visual textures as realizations of point process...
Huu-Giao Nguyen, Ronan Fablet, Jean-Marc Boucher