Publication

Sample and Pixel Weighting Strategies for Robust Incremental Visual Tracking

Publications associées (27)

Joint image reconstruction and segmentation using the Potts model

We propose a new algorithmic approach to the non-smooth and non-convex Potts problem (also called piecewise-constant Mumford-Shah problem) for inverse imaging problems. We derive a suitable splitting into specific subproblems that can all be solved efficie ...

Institute of Physics2015

Theoretical analysis of errors when estimating snow distribution through point measurements

Michael Lehning, Ernesto Trujillo Gomez

In recent years, marked improvements in our knowledge of the statistical properties of the spatial distribution of snow properties have been achieved thanks to improvements in measuring technologies (e.g., LIDAR, terrestrial laser scanning (TLS), and groun ...

Copernicus Gesellschaft Mbh2015

An Algorithmic Framework for Mumford-Shah Regularization of Inverse Problems in Imaging

Martin Kurt Storath

The Mumford-Shah model is a very powerful variational approach for edge preserving regularization of image reconstruction processes. However, it is algorithmically challenging because one has to deal with a non-smooth and non-convex functional. In this pap ...

Iop Publishing Ltd2015

Probabilistic assessment of the process-noise covariance matrix of discrete Kalman filter state estimation of active distribution networks

Sidi-Rachid Cherkaoui, Mario Paolone, Styliani Sarri, Marco Pignati, Lorenzo Zanni

The accuracy of state estimators using the Kalman Filter (KF) is largely influenced by the measurement and the process noise covariance matrices. The former can be directly inferred from the available measurement devices whilst the latter needs to be asses ...

IEEE2014

Analysis of the CICC Performance Through the Measurement of the Thermal Strain Distribution of the Nb-3 Sn Filaments in the Cable Cross Section

Pierluigi Bruzzone, Ciro Calzolaio

The knowledge of the thermal strain distribution of the Nb3Sn filaments in a cable in conduit conductor (CICC) cross section is a key parameter in understanding the cable performance evolution when it undergoes electromagnetic (EM) cyclic loading. A CICC i ...

IEEE Institute of Electrical and Electronics Engineers2014

Non-Linear Domain Adaptation with Boosting

Pascal Fua, Christos Marios Christoudias, Carlos Joaquin Becker

A common assumption in machine vision is that the training and test samples are drawn from the same distribution. However, there are many problems when this assumption is grossly violated, as in bio-medical applications where different acquisitions can gen ...

2013

Energy-aware adaptive bi-Lipschitz embeddings

Volkan Cevher, Bubacarr Bah, Ali Sadeghian

We propose a dimensionality reducing matrix design based on training data with constraints on its Frobenius norm and number of rows. Our design criteria is aimed at preserving the distances between the data points in the dimensionality reduced space as muc ...

2013