Motion segmentation involves identifying regions of the image that correspond to independently moving objects. The number of independently moving objects, and type of motion model for each of the objects is unknown a priori. In order to perform motion segmentation, the problems of model selection, robust estimation and clustering must all be addressed simultaneously. Here we place the three pro...

Low-rank tensor learning has many applications in machine learning. A series of batch learning algorithms have achieved great successes. However, in many emerging applications, such as climate data analysis, we are confronted with largescale tensor streams, which pose significant challenges to existing solutions. In this paper, we propose an accelerated online low-rank tensor learning algorithm...

Spatially homogeneous Bianchi type-II, VIII and IX anisotropic, as well as isotropic cosmological models can be obtained in a scalar tensor theory of gravitation proposed by Saez and Ballester (1986) when the source for energy momentum tensor is a bulk viscous fluid containing one-dimensional cosmic strings. All the models obtained and presented here are expanding, non-rotating and accelerating...

a method for deformation computation based on strain tensor elements, as an alternative to the usual way of application of gradient of displacement vector, is proposed. the method computes directly the strain tensor elements from the computed/observed changes in distances and angles between the stations of a geodetic network in two epochs of observations. displacement vector which is determined...

Introduction Clusters have become a key mode of economic co-ordination and focus of government policies across the world and for a wide variety of industries. In the UK, somewhat later than elsewhere in Europe, the USA and Japan, there has been government enthusiasm for encouraging cluster development, aimed particularly, though not exclusively, at high technology industry. The Competitiveness ...

Reconstruction of 3D-objects from a number of images is a central subject of Computer Vision. In this paper we will investigate the geometrical structure of the trifocal tensor using Geometric Algebra. Furthermore, we will give a novel expression for the trifocal tensor, derive constraints on its geometrical structure and investigate its reconstruction ability computationally. We will show that...