Analytic combinatorics multiple object di streit roy (22 risultati)

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  • Lingua: Inglese

    Editore: Springer, 2020

    3030611906 / 9783030611903

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  • Lingua: Inglese

    Editore: Springer Nature Switzerland AG, CH, 2020

    3030611906 / 9783030611903

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    Hardback. Condizione: New. 2021 ed. ?The book shows that the analytic combinatorics (AC) method encodes the combinatorial problems of multiple object tracking-without information loss-into the derivatives of a generating function (GF). The book lays out an easy-to-follow path from theory to practice and includes salient AC application examples. Since GFs are not widely utilized amongst the tracking community, the book takes the reader from the basics of the subject to applications of theory starting from the simplest problem of single object tracking, and advancing chapter by chapter to more challenging multi-object tracking problems.  Many established tracking filters (e.g., Bayes-Markov, PDA, JPDA, IPDA, JIPDA, CPHD, PHD, multi-Bernoulli, MBM, LMBM, and MHT) are derived in this manner with simplicity, economy, and considerable clarity. The AC method gives significant and fresh insights  into the modeling assumptions of these filters and, thereby, also shows the  potential utility of various approximation methods that are well established techniques in applied mathematics and physics, but are new to tracking.  These unexplored possibilities are reviewed in the final chapter of the book.

  • Lingua: Inglese

    Editore: Springer, 2021

    3030611930 / 9783030611934

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    Condizione: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.

  • Lingua: Inglese

    Editore: Springer, 2020

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    Condizione: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.

  • Lingua: Inglese

    Editore: Springer, 2021

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    Taschenbuch. Condizione: Neu. Analytic Combinatorics for Multiple Object Tracking | Roy Streit (u. a.) | Taschenbuch | xvi | Englisch | 2021 | Springer | EAN 9783030611934 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

  • Lingua: Inglese

    Editore: Springer Nature, 2020

    3030611906 / 9783030611903

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    Hardcover. Condizione: Brand New. 237 pages. 9.25x6.10x0.79 inches. In Stock.

  • Lingua: Inglese

    Editore: Springer Nature Switzerland AG, CH, 2020

    3030611906 / 9783030611903

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    Hardback. Condizione: New. 2021 ed. ?The book shows that the analytic combinatorics (AC) method encodes the combinatorial problems of multiple object tracking-without information loss-into the derivatives of a generating function (GF). The book lays out an easy-to-follow path from theory to practice and includes salient AC application examples. Since GFs are not widely utilized amongst the tracking community, the book takes the reader from the basics of the subject to applications of theory starting from the simplest problem of single object tracking, and advancing chapter by chapter to more challenging multi-object tracking problems.  Many established tracking filters (e.g., Bayes-Markov, PDA, JPDA, IPDA, JIPDA, CPHD, PHD, multi-Bernoulli, MBM, LMBM, and MHT) are derived in this manner with simplicity, economy, and considerable clarity. The AC method gives significant and fresh insights  into the modeling assumptions of these filters and, thereby, also shows the  potential utility of various approximation methods that are well established techniques in applied mathematics and physics, but are new to tracking.  These unexplored possibilities are reviewed in the final chapter of the book.

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    Editore: Springer, 2020

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    Hardcover. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Lingua: Inglese

    Editore: Springer, 2021

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  • Lingua: Inglese

    Editore: Springer International Publishing Nov 2021, 2021

    3030611930 / 9783030611934

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware - The book shows that the analytic combinatorics (AC) method encodes the combinatorial problems of multiple object tracking-without information loss-into the derivatives of a generating function (GF). The book lays out an easy-to-follow path from theory to practice and includes salient AC application examples. Since GFs are not widely utilized amongst the tracking community, the book takes the reader from the basics of the subject to applications of theory starting from the simplest problem of single object tracking, and advancing chapter by chapter to more challenging multi-object tracking problems. Many established tracking filters (e.g., Bayes-Markov, PDA, JPDA, IPDA, JIPDA, CPHD, PHD, multi-Bernoulli, MBM, LMBM, and MHT) are derived in this manner with simplicity, economy, and considerable clarity. The AC method gives significant and fresh insights into the modeling assumptions of these filters and, thereby, also shows the potential utility of various approximation methods that are well established techniques in applied mathematics and physics, but are new to tracking. These unexplored possibilities are reviewed in the final chapter of the book. 240 pp. Englisch.

  • Lingua: Inglese

    Editore: Springer International Publishing Nov 2020, 2020

    3030611906 / 9783030611903

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware - The book shows that the analytic combinatorics (AC) method encodes the combinatorial problems of multiple object tracking-without information loss-into the derivatives of a generating function (GF). The book lays out an easy-to-follow path from theory to practice and includes salient AC application examples. Since GFs are not widely utilized amongst the tracking community, the book takes the reader from the basics of the subject to applications of theory starting from the simplest problem of single object tracking, and advancing chapter by chapter to more challenging multi-object tracking problems. Many established tracking filters (e.g., Bayes-Markov, PDA, JPDA, IPDA, JIPDA, CPHD, PHD, multi-Bernoulli, MBM, LMBM, and MHT) are derived in this manner with simplicity, economy, and considerable clarity. The AC method gives significant and fresh insights into the modeling assumptions of these filters and, thereby, also shows the potential utility of various approximation methods that are well established techniques in applied mathematics and physics, but are new to tracking. These unexplored possibilities are reviewed in the final chapter of the book. 240 pp. Englisch.

  • Lingua: Inglese

    Editore: Springer International Publishing, 2020

    3030611906 / 9783030611903

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    Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents an accessible guide to AC and GF written for engineers to address engineering problemsProvides theory in an easy to understand manner and application of the theory to real life projects and solutionsDescribes GFs and their applicat.

  • Lingua: Inglese

    Editore: Springer, Berlin|Springer International Publishing|Springer, 2021

    3030611930 / 9783030611934

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    Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Since GFs are not widely utilized amongst the tracking community, the book takes the reader from the basics of the subject to applications of theory starting from the simplest problem of single object tracking, and advancing chapter by chapter to more chall.

  • Lingua: Inglese

    Editore: Springer, 2021

    3030611930 / 9783030611934

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  • Lingua: Inglese

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  • Lingua: Inglese

    Editore: Springer International Publishing, Springer Nov 2021, 2021

    3030611930 / 9783030611934

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    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -¿The book shows that the analytic combinatorics (AC) method encodes the combinatorial problems of multiple object tracking-without information loss-into the derivatives of a generating function (GF). The book lays out an easy-to-follow path from theory to practice and includes salient AC application examples. Since GFs are not widely utilized amongst the tracking community, the book takes the reader from the basics of the subject to applications of theory starting from the simplest problem of single object tracking, and advancing chapter by chapter to more challenging multi-object tracking problems. Many established tracking filters (e.g., Bayes-Markov, PDA, JPDA, IPDA, JIPDA, CPHD, PHD, multi-Bernoulli, MBM, LMBM, and MHT) are derived in this manner with simplicity, economy, and considerable clarity. The AC method gives significant and fresh insights into the modeling assumptions of these filters and, thereby, also shows the potential utility of various approximation methods that are well established techniques in applied mathematics and physics, but are new to tracking. These unexplored possibilities are reviewed in the final chapter of the book.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 240 pp. Englisch.

  • Lingua: Inglese

    Editore: Springer, Springer International Publishing Nov 2020, 2020

    3030611906 / 9783030611903

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    Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -¿The book shows that the analytic combinatorics (AC) method encodes the combinatorial problems of multiple object tracking-without information loss-into the derivatives of a generating function (GF). The book lays out an easy-to-follow path from theory to practice and includes salient AC application examples. Since GFs are not widely utilized amongst the tracking community, the book takes the reader from the basics of the subject to applications of theory starting from the simplest problem of single object tracking, and advancing chapter by chapter to more challenging multi-object tracking problems. Many established tracking filters (e.g., Bayes-Markov, PDA, JPDA, IPDA, JIPDA, CPHD, PHD, multi-Bernoulli, MBM, LMBM, and MHT) are derived in this manner with simplicity, economy, and considerable clarity. The AC method gives significant and fresh insights into the modeling assumptions of these filters and, thereby, also shows the potential utility of various approximation methods that are well established techniques in applied mathematics and physics, but are new to tracking. These unexplored possibilities are reviewed in the final chapter of the book.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 240 pp. Englisch.

  • Lingua: Inglese

    Editore: Springer, 2021

    3030611930 / 9783030611934

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  • Lingua: Inglese

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    3030611906 / 9783030611903

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