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IJCV
2008
188views more  IJCV 2008»
13 years 5 months ago
Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
Elise Arnaud, Étienne Mémin
PAMI
2006
141views more  PAMI 2006»
13 years 5 months ago
Diffusion Maps and Coarse-Graining: A Unified Framework for Dimensionality Reduction, Graph Partitioning, and Data Set Parameter
We provide evidence that non-linear dimensionality reduction, clustering and data set parameterization can be solved within one and the same framework. The main idea is to define ...
Stéphane Lafon, Ann B. Lee
AFPAC
2000
Springer
257views Mathematics» more  AFPAC 2000»
13 years 9 months ago
The Multidimensional Isotropic Generalization of Quadrature Filters in Geometric Algebra
In signal processing, the approach of the analytic signal is a capable and often used method. For signals of finite length, quadrature filters yield a bandpass filtered approxim...
Michael Felsberg, Gerald Sommer
IJCV
2006
165views more  IJCV 2006»
13 years 5 months ago
A Riemannian Framework for Tensor Computing
Tensors are nowadays a common source of geometric information. In this paper, we propose to endow the tensor space with an affine-invariant Riemannian metric. We demonstrate that ...
Xavier Pennec, Pierre Fillard, Nicholas Ayache
ICASSP
2011
IEEE
12 years 9 months ago
Convergence results in distributed Kalman filtering
Abstract—The paper studies the convergence properties of the estimation error processes in distributed Kalman filtering for potentially unstable linear dynamical systems. In par...
Soummya Kar, Shuguang Cui, H. Vincent Poor, Jos&ea...