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Record Nr. |
UNINA9910481047503321 |
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Autore |
Speicher Roland <1960-> |
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Titolo |
Combinatorial theory of the free product with amalgamation and operator-valued free probability theory / / Roland Speicher |
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Pubbl/distr/stampa |
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Providence, Rhode Island : , : American Mathematical Society, , [1998] |
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©1998 |
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ISBN |
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Descrizione fisica |
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1 online resource (105 p.) |
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Collana |
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Memoirs of the American Mathematical Society, , 0065-9266 ; ; number 627 |
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Disciplina |
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Soggetti |
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Operator-valued functions |
Selfadjoint operators |
Free products (Group theory) |
Combinatorial analysis |
Free probability theory |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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"March 1998, volume 132, number 627 (third of 5 numbers)." |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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""Contents""; ""Introduction""; ""Chapter I. Preliminaries on non-crossing partitions""; ""1.1. Non-crossing partitions""; ""1.2. Incidence algebra and convolution""; ""1.3. Multiplicative functions""; ""Chapter II. Operator-valued multiplicative functions on the lattice of non-crossing partitions""; ""2.1. Operator-valued multiplicative functions""; ""2.2. Connection between f and f â??C""; ""2.3. Special case I = I(C,C)""; ""2.4. Tracial multiplicative functions""; ""2.5. Product and cluster property""; ""Chapter III. Amalgamated free products""; ""3.1. Basic notations"" |
""3.2. Moment and cumulant functions""""3.3. Definition of the amalgamated free product""; ""3.4. Explicit formula for α[sub(1)] â??α[sub(2)]""; ""3.5. Positivity of the amalgamated free product""; ""Chapter IV. Operator-valued free probability theory""; ""4.1. B-valued random variables and free convolution""; ""4.2. B-Gaussian distributions and central limit theorem""; ""4.3. Positivity of B-Gaussian distributions""; ""4.4. Compound B-Poisson distributions""; ""4.5. Infinitely divisible |
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distributions""; ""4.6. Full Fock space over a Hilbert-B-bimodule"" |
""4.7. Realization of infinitely divisible distributions on a full Fock space""""Chapter V. Operator-valued stochastic processes and stochastic differential equations""; ""5.1. B-valued stochastic processes""; ""5.2. Formulation of the problem""; ""5.3. Possible solutions of the problem""; ""5.4. Gaussian approximation""; ""Bibliography"" |
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2. |
Record Nr. |
UNINA9910410053603321 |
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Titolo |
Pattern Recognition : 12th Mexican Conference, MCPR 2020, Morelia, Mexico, June 24–27, 2020, Proceedings / / edited by Karina Mariela Figueroa Mora, Juan Anzurez Marín, Jaime Cerda, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad, José Arturo Olvera-López |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (348 pages) |
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Collana |
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Image Processing, Computer Vision, Pattern Recognition, and Graphics, , 3004-9954 ; ; 12088 |
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Disciplina |
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Soggetti |
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Pattern recognition systems |
Artificial intelligence |
Computer networks |
Computer vision |
Application software |
Automated Pattern Recognition |
Artificial Intelligence |
Computer Communication Networks |
Computer Vision |
Computer and Information Systems Applications |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Pattern Recognition Techniques -- Image Processing and Analysis -- |
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Computer Vision -- Industrial and Medical Applications of Pattern Recognition -- Natural Language Processing and Recognition -- Artificial Intelligence Techniques and Recognition. |
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Sommario/riassunto |
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This book constitutes the proceedings of the 12th Mexican Conference on Pattern Recognition, MCPR 2020, which was due to be held in Morelia, Mexico, in June 2020. The conference was held virtually due to the COVID-19 pandemic. The 31 papers presented in this volume were carefully reviewed and selected from 67 submissions. They were organized in the following topical sections: pattern recognition techniques; image processing and analysis; computer vision; industrial and medical applications of pattern recognition; natural language processing and recognition; artificial intelligence techniques and recognition. |
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