Turaga (25 Ergebnisse)

Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Hardcover. Zustand: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

vi, 391 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In English.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Hardcover. Zustand: Very Good. 1st Edition. Clean pages tightly bound. Boards in excellent shape.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. The primary goal of this book is to present the theory and algorithmic considerations in using sparse models for image understanding and computer vision applications. To this end, algorithms for obtaining sparse representations and their performance guarantees are discussed in the initial chapters. Furthermore, approaches for designing overcomplete, data-adapted dictionaries to model natural images are described. The development of theory behind dictionary learning involves exploring its connection to unsupervised clustering and analyzing its generalization characteristics using principles from statistical learning theory. An exciting application area that has benefited extensively from the theory of sparse representations is compressed sensing of image and video data. Theory and algorithms pertinent to measurement design, recovery, and model-based compressed sensing are presented. The paradigm of sparse models, when suitably integrated with powerful machine learning frameworks, can lead to advances in computer vision applications such as object recognition, clustering, segmentation, and activity recognition. Frameworks that enhance the performance of sparse models in such applications by imposing constraints based on the prior discriminatory information and the underlying geometrical structure, and kernelizing the sparse coding and dictionary learning methods are presented. In addition to presenting theoretical fundamentals in sparse learning, this book provides a platform for interested readers to explore the vastly growing application domains of sparse representations.…

hardcover. Zustand: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses how climate change needs to be anchored in indigenous knowledge with reference to resource management, infrastructure, livelihoods, and social institutions, with a unique focus on risks and provenances of resilience available to the local communities. Beyond the scientific know-how on climate change, this volume highlights traditional wisdom, which through its hands-on learning plays a crucial role in amalgamation with cross-scale understanding. It documents the deliberations of a seminar that brought together traditional wisdom and cross-scale understanding of academicians, researchers, practitioners, and grassroots functionaries directly or indirectly working with communities in the area of climate change adaptation and thereby brings together adaptation and allied practices from across a spectrum of specialties and practitioner contexts. It discusses several insights and novel practices and is purported to provide significant research and policy implications in the spirit of thinking globally but acting locally.…

Zustand: Good. Good condition. A copy that has been read but remains intact. May contain markings such as bookplates, stamps, limited notes and highlighting, or a few light stains.

Zustand: New. In English.

Taschenbuch. Zustand: Neu. Neuware.

Paperback. Zustand: Brand New. v6 edition. 808 pages. 9.00x7.00x1.50 inches. In Stock.

Zustand: New. In English.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a comprehensive treatise on Riemannian geometric computations and related statistical inferences in several computer vision problems. This edited volume includes chapter contributions from leading figures in the field of computer vision who are applying Riemannian geometric approaches in problems such as face recognition, activity recognition, object detection, biomedical image analysis, and structure-from-motion. Some of the mathematical entities that necessitate a geometric analysis include rotation matrices (e.g. in modeling camera motion), stick figures (e.g. for activity recognition), subspace comparisons (e.g. in face recognition), symmetric positive-definite matrices (e.g. in diffusion tensor imaging), and function-spaces (e.g. in studying shapes of closed contours).…

Hardcover. Zustand: Brand New. 529 pages. 9.75x7.00x1.50 inches. In Stock.

Taschenbuch. Zustand: Neu. Riemannian Computing in Computer Vision | Pavan K. Turaga (u. a.) | Taschenbuch | vi | Englisch | 2016 | Springer | EAN 9783319360959 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Zustand: New. In English.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Stream processing is a novel distributed computing paradigm that supports the gathering, processing and analysis of high-volume, heterogeneous, continuous data streams, to extract insights and actionable results in real time. This comprehensive, hands-on guide combining the fundamental building blocks and emerging research in stream processing is ideal for application designers, system builders, analytic developers, as well as students and researchers in the field. This book introduces the key components of the stream computing paradigm, including the distributed system infrastructure, the programming model, design patterns and streaming analytics. The explanation of the underlying theoretical principles, illustrative examples and implementations using the IBM InfoSphere Streams SPL language and real-world case studies provide students and practitioners with a comprehensive understanding of such applications and the middleware that supports them. …

Paperback. Zustand: Brand New. reprint edition. 391 pages. 9.25x6.10x0.94 inches. In Stock.

Hardcover. Zustand: Brand New. 400 pages. 9.50x6.50x1.25 inches. In Stock.

Buch. Zustand: Neu. Neuware.