In recent years, there has been a concerted effort to reduce the MR scan time. Signal
processing research aims at reducing the scan time by acquiring less K-space data. The …

This thesis introduces the recent advances on decomposition into low-rank plus sparse
matrices and tensors, as well as the main contributions to face the principal issues in moving …

In this paper, the problem of non-rigid structure estimation in trajectory space from
monocular vision is investigated. Similar to the Point Trajectory Approach (PTA), based on …

Abstract Magnetic Resonance Imaging (MRI) is a safe medical imaging modality that can
acquire high quality scans. However, MRI has a relatively long acquisition time compared to …

In this paper, we propose a new technique for checking the relevancy of sessions created by
visitors on a web-page for measuring the web-page ranking, since session of a web-page is …

Topic models have been proposed to model a collection of data such as text documents and
images in which each object (eg, a document) contains a set of instances (eg, words). In …

The detection of moving objects is an important step in computer vision field to develop
numerous kinds of systems, such as intelligent video surveillance, motion capture, among …

Multi-instance data, in which each object (eg, a document) is a collection of instances (eg,
word), are widespread in machine learning, signal processing, computer vision …