In recent years several techniques have been proposed for modelling the low-dimensional manifolds, or `subspaces', of natural images. Examples include principal component anal...
Abstract--The recently introduced notion of Finite-Time Lyapunov Exponent to characterize Coherent Lagrangian Structures provides a powerful framework for the visualization and ana...
Christoph Garth, Florian Gerhardt, Xavier Tricoc...
In this paper we present an application of computer vision techniques to obtain specific information about the behaviour of the people passing in front of a target scene. This is ...
A standard method for approximating averages in probabilistic models is to construct a Markov chain in the product space of the random variables with the desired equilibrium distr...
In many real world applications, active selection of training examples can significantly reduce the number of labelled training examples to learn a classification function. Differ...