Listing 1 - 10 of 22 << page
of 3
>>
Sort by

Book
Theoretical foundations and numerical methods for sparse recovery
Author:
ISBN: 1282723022 9786612723025 3110226154 Year: 2010 Publisher: Berlin ; New York : De Gruyter,

Loading...
Export citation

Choose an application

Bookmark

Abstract

The present collection is the very first contribution of this type in the field of sparse recovery. Compressed sensing is one of the important facets of the broader concept presented in the book, which by now has made connections with other branches such as mathematical imaging, inverse problems, numerical analysis and simulation. The book consists of four lecture notes of courses given at the Summer School on "Theoretical Foundations and Numerical Methods for Sparse Recovery" held at the Johann Radon Institute for Computational and Applied Mathematics in Linz, Austria, in September 2009. This unique collection will be of value for a broad community and may serve as a textbook for graduate courses. From the contents: "Compressive Sensing and Structured Random Matrices" by Holger Rauhut "Numerical Methods for Sparse Recovery" by Massimo Fornasier "Sparse Recovery in Inverse Problems" by Ronny Ramlau and Gerd Teschke "An Introduction to Total Variation for Image Analysis" by Antonin Chambolle, Vicent Caselles, Daniel Cremers, Matteo Novaga and Thomas Pock


Book
Simultaneous localization and mapping : exactly sparse information filters
Authors: --- --- --- --- --- et al.
ISBN: 1283433796 9786613433794 981435032X 9789814350327 9781283433792 9789814350310 9814350311 6613433799 Year: 2011 Publisher: Singapore ; Hackensack, N.J. : World Scientific,

Loading...
Export citation

Choose an application

Bookmark

Abstract

Simultaneous localization and mapping (SLAM) is a process where an autonomous vehicle builds a map of an unknown environment while concurrently generating an estimate for its location. This book is concerned with computationally efficient solutions to the large scale SLAM problems using exactly sparse Extended Information Filters (EIF). The invaluable book also provides a comprehensive theoretical analysis of the properties of the information matrix in EIF-based algorithms for SLAM. Three exactly sparse information filters for SLAM are described in detail, together with two efficient and exact methods for recovering the state vector and the covariance matrix. Proposed algorithms are extensively evaluated both in simulation and through experiments.


Book
Krylov subspace methods : principles and analysis
Authors: ---
ISBN: 0198739044 1283713462 0191630322 9780191630323 9781283713467 9780199655410 0199655413 Year: 2013 Publisher: Oxford : Oxford University Press,

Loading...
Export citation

Choose an application

Bookmark

Abstract

This volume describes the principles and history behind the use of Krylov subspace methods in science and engineering. The outcome of the analysis is very practical and indicates what can and cannot be expected from the use of Krylov subspace methods challenging some common assumptions and justifications of standard approaches.


Book
Sparse Grids and Applications - Stuttgart 2014
Authors: --- ---
ISBN: 3319282603 331928262X 9783319282602 Year: 2016 Publisher: Cham : Springer International Publishing : Imprint: Springer,

Loading...
Export citation

Choose an application

Bookmark

Abstract

This volume of LNCSE is a collection of the papers from the proceedings of the third workshop on sparse grids and applications. Sparse grids are a popular approach for the numerical treatment of high-dimensional problems. Where classical numerical discretization schemes fail in more than three or four dimensions, sparse grids, in their different guises, are frequently the method of choice, be it spatially adaptive in the hierarchical basis or via the dimensionally adaptive combination technique. Demonstrating once again the importance of this numerical discretization scheme, the selected articles present recent advances on the numerical analysis of sparse grids as well as efficient data structures. The book also discusses a range of applications, including uncertainty quantification and plasma physics.


Book
Sparse image and signal processing : wavelets, curvelets, morphological diversity
Authors: --- --- --- ---
ISBN: 9780511730344 9780521119139 9780511726538 0511726538 9780511729829 0511729820 0511730349 9786612630453 6612630450 0521119138 1107203430 1139635557 1282630458 0511728875 0511727925 0511725116 Year: 2010 Publisher: New York : Cambridge University Press,


Book
Image understanding using sparse representations
Authors: --- --- --- ---
ISBN: 1627053603 Year: 2014 Publisher: San Rafael, California (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool,

Loading...
Export citation

Choose an application

Bookmark

Abstract

Image understanding has been playing an increasingly crucial role in several inverse problems and computer vision. Sparse models form an important component in image understanding, since they emulate the activity of neural receptors in the primary visual cortex of the human brain. Sparse methods have been utilized in several learning problems because of their ability to provide parsimonious, interpretable, and efficient models. Exploiting the sparsity of natural signals has led to advances in several application areas including image compression, denoising, inpainting, compressed sensing, blind source separation, super-resolution, and classification.

Listing 1 - 10 of 22 << page
of 3
>>
Sort by