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1. |
Record Nr. |
UNIPARTHENOPE000018431 |
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Autore |
Bonferroni, Carlo Emilio |
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Titolo |
Elementi di statistica generale : anno accademico 1938-39 / C. E. Bonferroni |
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Pubbl/distr/stampa |
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Titolo uniforme |
Elementi di statistica generale |
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Descrizione fisica |
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Disciplina |
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Collocazione |
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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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Nel front.: Milano, Università commerciale Bocconi |
Ristampa con aggiunte |
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2. |
Record Nr. |
UNINA9910830377103321 |
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Autore |
Favier Gérard |
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Titolo |
Matrix and tensor decompositions in signal processing . Volume 2 / / Gerard Favier |
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Pubbl/distr/stampa |
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London, England : , : ISTE Ltd, , [2021] |
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℗♭2021 |
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ISBN |
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1-119-70098-1 |
1-119-70099-X |
1-119-70096-5 |
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Descrizione fisica |
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1 online resource (386 pages) |
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Collana |
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Digital signal and image processing series. Matrices and tensors in signal processing set. |
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Disciplina |
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Soggetti |
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Signal processing - Digital techniques - Mathematics |
Computer algorithms |
Calculus of tensors |
Matrices |
Algorithms |
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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 contenuto |
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Intro -- Table of Contents -- Title Page -- Copyright -- Introduction -- I.1. What are the advantages of tensor approaches? -- I.2. For what uses? -- I.3. In what fields of application? -- I.4. With what tensor decompositions? -- I.5. With what cost functions and optimization algorithms? -- I.6. Brief description of content -- 1 Matrix Decompositions -- 1.1. Introduction -- 1.2. Overview of the most common matrix decompositions -- 1.3. Eigenvalue decomposition -- 1.4. URVH decomposition -- 1.5. Singular value decomposition -- 1.6. CUR decomposition -- 2 Hadamard, Kronecker and Khatri-Rao Products -- 2.1. Introduction -- 2.2. Notation -- 2.3. Hadamard product -- 2.4. Kronecker product -- 2.5. Kronecker sum -- 2.6. Index convention -- 2.7. Commutation matrices -- 2.8. Relations between the diag operator and the Kronecker product -- 2.9. Khatri-Rao product -- 2.10. Relations between vectorization and Kronecker and Khatri-Rao products -- 2.11. Relations between the Kronecker, Khatri- |
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Rao and Hadamard products -- 2.12. Applications -- 3 Tensor Operations -- 3.1. Introduction -- 3.2. Notation and particular sets of tensors -- 3.3. Notion of slice -- 3.4. Mode combination -- 3.5. Partitioned tensors or block tensors -- 3.6. Diagonal tensors -- 3.7. Matricization -- 3.8. Subspaces associated with a tensor and multilinear rank -- 3.9. Vectorization -- 3.10. Transposition -- 3.11. Symmetric/partially symmetric tensors -- 3.12. Triangular tensors -- 3.13. Multiplication operations -- 3.14. Inverse and pseudo-inverse tensors -- 3.15. Tensor decompositions in the form of factorizations -- 3.16. Inner product, Frobenius norm and trace of a tensor -- 3.17. Tensor systems and homogeneous polynomials -- 3.18. Hadamard and Kronecker products of tensors -- 3.19. Tensor extension -- 3.20. Tensorization -- 3.21. Hankelization. |
4 Eigenvalues and Singular Values of a Tensor -- 4.1. Introduction -- 4.2. Eigenvalues of a tensor of order greater than two -- 4.3. Best rank-one approximation -- 4.4. Orthogonal decompositions -- 4.5. Singular values of a tensor -- 5 Tensor Decompositions -- 5.1. Introduction -- 5.2. Tensor models -- 5.3. Examples of tensor models -- Appendix Random Variables and Stochastic Processes -- A1.1. Introduction -- A1.2. Random variables -- A1.3. Discrete-time random signals -- A1.4. Application to system identification -- References -- Index -- End User License Agreement. |
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Sommario/riassunto |
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The second volume will deal with a presentation of the main matrix and tensor decompositions and their properties of uniqueness, as well as very useful tensor networks for the analysis of massive data. Parametric estimation algorithms will be presented for the identification of the main tensor decompositions. After a brief historical review of the compressed sampling methods, an overview of the main methods of retrieving matrices and tensors with missing data will be performed under the low rank hypothesis. Illustrative examples will be provided. |
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3. |
Record Nr. |
UNINA9910861976603321 |
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Autore |
Page Allison |
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Titolo |
Media and the affective life of slavery / / Allison Page |
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Pubbl/distr/stampa |
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Minneapolis : , : University of Minnesota Press, , 2022 |
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©2022 |
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ISBN |
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1-4529-6491-2 |
1-4529-6490-4 |
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Descrizione fisica |
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1 online resource (196 pages) |
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Disciplina |
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Soggetti |
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Slavery in mass media |
Race in mass media |
Popular culture |
Mass media and minorities |
Mass media |
Emotions - Social aspects |
Popular culture - United States - History - 21st century |
Mass media - United States - History - 21st century |
Mass media and minorities - United States |
United States |
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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 contenuto |
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Introduction. Racial formation and post-civil rights governance -- "The restless Black peril": race, television documentary, and emotion -- Feeling slavery: Roots and pedagogies of emotion -- Choosing freedom: empathy and agency -- "How many slaves work for you? algorithmic governance and guilt -- Conclusion. Refusing prescription: Kara Walker and Black feminist cultural production. |
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Sommario/riassunto |
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"Allison Page examines U.S. media from the 1960s to today and delivers vital new ideas about how our feelings about race are governed and normalized by our media landscape. Media and the Affective Life of Slavery argues that visual culture works through emotion, a powerful lever for shaping and managing racialized subjectivity"-- |
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