Walter scheirer (36 Ergebnisse)

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Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

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

paperback. Zustand: New. Condition Notes: New from the publisher.

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Paperback. Zustand: Brand New. 264 pages. 9.00x6.00x9.00 inches. In Stock.

Paperback. Zustand: Brand New. 264 pages. 9.00x6.00x9.00 inches. In Stock.

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

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Hardcover. Zustand: Brand New. 272 pages. 9.00x6.00x0.94 inches. In Stock.

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Taschenbuch. Zustand: Neu. Neuware.

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Zustand: New. In English.

Zustand: New. In English.

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Buch. Zustand: Neu. Neuware.

Gebunden. Zustand: New. &Uumlber den AutorWalter J. Scheirer is the Dennis O. Doughty Collegiate Associate Professor of Computer Science and Engineering at the University of Notre Dame.Inhaltsverzeichnis1. Restyling Reality.

Gebunden. Zustand: New.

Taschenbuch. Zustand: Neu. A History of Fake Things on the Internet | Walter Scheirer | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2025 | Stanford University Press | EAN 9781503644038 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents the first unified formalization for defining novelty across the span of machine learning, symbolic-reasoning, and control and planning-based systems. Dealing with novelty, things not previously seen by a system, is a critical issue for building vision-systems and general intelligent systems. The bookpresents examples of using this framework to define and evaluate in multiple domains including image recognition image-based open world learning, hand-writing and author analysis, CartPole Control, Image Captioning, and Monopoly. Chapters are written by well-known contributors to this new and emerging field. In addition, examples are provided from multiple areas, such as machine-learning based control problems, symbolic reasoning, and multi-player games.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents the first unified formalization for defining novelty across the span of machine learning, symbolic-reasoning, and control and planning-based systems. Dealing with novelty, things not previously seen by a system, is a critical issue for building vision-systems and general intelligent systems. The bookpresents examples of using this framework to define and evaluate in multiple domains including image recognition image-based open world learning, hand-writing and author analysis, CartPole Control, Image Captioning, and Monopoly. Chapters are written by well-known contributors to this new and emerging field. In addition, examples are provided from multiple areas, such as machine-learning based control problems, symbolic reasoning, and multi-player games.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - A common feature of many approaches to modeling sensory statistics is an emphasis on capturing the 'average.' From early representations in the brain, to highly abstracted class categories in machine learning for classification tasks, central-tendency models based on the Gaussian distribution are a seemingly natural and obvious choice for modeling sensory data. However, insights from neuroscience, psychology, and computer vision suggest an alternate strategy: preferentially focusing representational resources on the extremes of the distribution of sensory inputs. The notion of treating extrema near a decision boundary as features is not necessarily new, but a comprehensive statistical theory of recognition based on extrema is only now just emerging in the computer vision literature. This book begins by introducing the statistical Extreme Value Theory (EVT) for visual recognition. In contrast to central-tendency modeling, it is hypothesized that distributions near decision boundaries form a more powerful model for recognition tasks by focusing coding resources on data that are arguably the most diagnostic features. EVT has several important properties: strong statistical grounding, better modeling accuracy near decision boundaries than Gaussian modeling, the ability to model asymmetric decision boundaries, and accurate prediction of the probability of an event beyond our experience. The second part of the book uses the theory to describe a new class of machine learning algorithms for decision making that are a measurable advance beyond the state-of-the-art. This includes methods for post-recognition score analysis, information fusion, multi-attribute spaces, and calibration of supervised machine learning algorithms.…

Buch. Zustand: Neu. A History of Fake Things on the Internet | Walter Scheirer | Buch | Einband - fest (Hardcover) | Englisch | 2023 | Stanford University Press | EAN 9781503632882 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. …

Taschenbuch. Zustand: Neu. A Unifying Framework for Formal Theories of Novelty | Discussions, Guidelines, and Examples for Artificial Intelligence | Terrance Boult (u. a.) | Taschenbuch | Synthesis Lectures on Computer Vision | xv | Englisch | 2024 | Springer | EAN 9783031330568 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Taschenbuch. Zustand: Neu. Extreme Value Theory-Based Methods for Visual Recognition | Walter J. Scheirer | Taschenbuch | Synthesis Lectures on Computer Vision | xv | Englisch | 2017 | Springer | EAN 9783031006890 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…