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Advances in Data Science / Ilke Demir ... [et al.] editors
| Advances in Data Science / Ilke Demir ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xx, 364 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
94-XX - Information and communication theory, circuits [MSC 2020] 00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020] 68Txx - Artificial intelligence [MSC 2020] 62-XX - Statistics [MSC 2020] 62H35 - Image analysis in multivariate analysis [MSC 2020] 94A08 - Image processing (compression, reconstruction, etc.) in information and communication theory [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] |
| Soggetto non controllato |
Data analysis
Discrete approximations Health science Incomplete and multi-modal data Methods involving duality Networking Regularization Spatial-temporal dynamics modeling Statistical topological learning algorithms User anonymity |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274518 |
| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Advances in Data Science / Ilke Demir ... [et al.] editors
| Advances in Data Science / Ilke Demir ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xx, 364 p. : ill. ; 24 cm |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62H35 - Image analysis in multivariate analysis [MSC 2020] 68-XX - Computer science [MSC 2020] 68Txx - Artificial intelligence [MSC 2020] 94-XX - Information and communication theory, circuits [MSC 2020] 94A08 - Image processing (compression, reconstruction, etc.) in information and communication theory [MSC 2020] |
| Soggetto non controllato |
Data analysis
Discrete approximations Health science Incomplete and multi-modal data Methods involving duality Networking Regularization Spatial-temporal dynamics modeling Statistical topological learning algorithms User anonymity |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00274518 |
| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Functional and shape data analysis / Anuj Srivastava, Eric P. Klassen
| Functional and shape data analysis / Anuj Srivastava, Eric P. Klassen |
| Autore | Srivastava, Anuj |
| Pubbl/distr/stampa | New York, : Springer, 2016 |
| Descrizione fisica | XVIII, 447 p. : ill. ; 24 cm |
| Altri autori (Persone) | Klassen, Eric P. |
| Soggetto topico |
68U07 - Computer science aspects of computer-aided design [MSC 2020]
00A06 - Mathematics for nonmathematicians (engineering, social sciences, etc.) [MSC 2020] 68U05 - Computer graphics; computational geometry (digital and algorithmic aspects) [MSC 2020] 68T10 - Pattern recognition, speech recognition [MSC 2020] 53A04 - Curves in Euclidean and related spaces [MSC 2020] 65D17 - Computer-aided design (modeling of curves and surfaces) [MSC 2020] 62-XX - Statistics [MSC 2020] 53B20 - Local Riemannian geometry [MSC 2020] 53C22 - Geodesics in global differential geometry [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62H35 - Image analysis in multivariate analysis [MSC 2020] 62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 65D18 - Numerical aspects of computer graphics, image analysis, and computational geometry [MSC 2020] |
| Soggetto non controllato |
Curves
Function data analysis Geodesic Mathematical representations Riemannian methods Shape Analysis Square-root representations Vector-space-based statistical analyses |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114787 |
Srivastava, Anuj
|
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| New York, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Functional and shape data analysis / Anuj Srivastava, Eric P. Klassen
| Functional and shape data analysis / Anuj Srivastava, Eric P. Klassen |
| Autore | Srivastava, Anuj |
| Pubbl/distr/stampa | New York, : Springer, 2016 |
| Descrizione fisica | XVIII, 447 p. : ill. ; 24 cm |
| Altri autori (Persone) | Klassen, Eric P. |
| Soggetto topico |
00A06 - Mathematics for nonmathematicians (engineering, social sciences, etc.) [MSC 2020]
53A04 - Curves in Euclidean and related spaces [MSC 2020] 53B20 - Local Riemannian geometry [MSC 2020] 53C22 - Geodesics in global differential geometry [MSC 2020] 62-XX - Statistics [MSC 2020] 62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 62H35 - Image analysis in multivariate analysis [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 65D17 - Computer-aided design (modeling of curves and surfaces) [MSC 2020] 65D18 - Numerical aspects of computer graphics, image analysis, and computational geometry [MSC 2020] 68T10 - Pattern recognition, speech recognition [MSC 2020] 68U05 - Computer graphics; computational geometry (digital and algorithmic aspects) [MSC 2020] 68U07 - Computer science aspects of computer-aided design [MSC 2020] |
| Soggetto non controllato |
Curves
Function data analysis Geodesic Mathematical representations Riemannian methods Shape Analysis Square-root representations Vector-space-based statistical analyses |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00114787 |
|
Srivastava, Anuj
|
||
| New York, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Functional and shape data analysis / Anuj Srivastava, Eric P. Klassen
| Functional and shape data analysis / Anuj Srivastava, Eric P. Klassen |
| Autore | Srivastava, Anuj |
| Edizione | [New York : Springer, 2016] |
| Pubbl/distr/stampa | XVIII, 447 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Altri autori (Persone) | Klassen, Eric P. |
| Soggetto topico |
68U07 - Computer science aspects of computer-aided design [MSC 2020]
00A06 - Mathematics for nonmathematicians (engineering, social sciences, etc.) [MSC 2020] 68U05 - Computer graphics; computational geometry (digital and algorithmic aspects) [MSC 2020] 68T10 - Pattern recognition, speech recognition [MSC 2020] 53A04 - Curves in Euclidean and related spaces [MSC 2020] 65D17 - Computer-aided design (modeling of curves and surfaces) [MSC 2020] 62-XX - Statistics [MSC 2020] 53B20 - Local Riemannian geometry [MSC 2020] 53C22 - Geodesics in global differential geometry [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62H35 - Image analysis in multivariate analysis [MSC 2020] 62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 65D18 - Numerical aspects of computer graphics, image analysis, and computational geometry [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0114787 |
|
Srivastava, Anuj
|
||
| XVIII, 447 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Generalized principal component analysis / René Vidal, Yi Ma, S. Shankar Sastry
| Generalized principal component analysis / René Vidal, Yi Ma, S. Shankar Sastry |
| Autore | Vidal, René |
| Pubbl/distr/stampa | New York, : Springer, 2016 |
| Descrizione fisica | XXXII, 566 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Ma, Yi
Sastry, S. Shankar |
| Soggetto topico |
14-XX - Algebraic geometry [MSC 2020]
15-XX - Linear and multilinear algebra; matrix theory [MSC 2020] 62B10 - Statistical aspects of information-theoretic topics [MSC 2020] 62H12 - Estimation in multivariate analysis [MSC 2020] 62-XX - Statistics [MSC 2020] 62J05 - Linear regression; mixed models [MSC 2020] 30C10 - Polynomials and rational functions of one complex variable [MSC 2020] 62H35 - Image analysis in multivariate analysis [MSC 2020] 62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62J07 - Ridge regression; shrinkage estimators (Lasso) [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 30C40 - Kernel functions in one complex variable and applications [MSC 2020] 14N20 - Configurations and arrangements of linear subspaces [MSC 2020] |
| Soggetto non controllato |
Hybrid system identification
Image and video segmentation Linear subspace models Low-rank matrix theory Manifold learning Principal component analysis Robust principal component analysis Sparse representation theory Spectral clustering Subspace arrangements Subspace clustering |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114796 |
|
Vidal, René
|
||
| New York, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Generalized principal component analysis / René Vidal, Yi Ma, S. Shankar Sastry
| Generalized principal component analysis / René Vidal, Yi Ma, S. Shankar Sastry |
| Autore | Vidal, René |
| Pubbl/distr/stampa | New York, : Springer, 2016 |
| Descrizione fisica | XXXII, 566 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Ma, Yi
Sastry, S. Shankar |
| Soggetto topico |
14-XX - Algebraic geometry [MSC 2020]
14N20 - Configurations and arrangements of linear subspaces [MSC 2020] 15-XX - Linear and multilinear algebra; matrix theory [MSC 2020] 30C10 - Polynomials and rational functions of one complex variable [MSC 2020] 30C40 - Kernel functions in one complex variable and applications [MSC 2020] 62-XX - Statistics [MSC 2020] 62B10 - Statistical aspects of information-theoretic topics [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 62H12 - Estimation in multivariate analysis [MSC 2020] 62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 62H35 - Image analysis in multivariate analysis [MSC 2020] 62J05 - Linear regression; mixed models [MSC 2020] 62J07 - Ridge regression; shrinkage estimators (Lasso) [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] |
| Soggetto non controllato |
Hybrid system identification
Image and video segmentation Linear subspace models Low-rank matrix theory Manifold learning Principal component analysis Robust principal component analysis Sparse representation theory Spectral clustering Subspace arrangements Subspace clustering |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00114796 |
|
Vidal, René
|
||
| New York, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Generalized principal component analysis / René Vidal, Yi Ma, S. Shankar Sastry
| Generalized principal component analysis / René Vidal, Yi Ma, S. Shankar Sastry |
| Autore | Vidal, René |
| Edizione | [New York : Springer, 2016] |
| Pubbl/distr/stampa | XXXII, 566 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Altri autori (Persone) |
Ma, Yi
Sastry, S. Shankar |
| Soggetto topico |
14-XX - Algebraic geometry [MSC 2020]
15-XX - Linear and multilinear algebra; matrix theory [MSC 2020] 62B10 - Statistical aspects of information-theoretic topics [MSC 2020] 62H12 - Estimation in multivariate analysis [MSC 2020] 62-XX - Statistics [MSC 2020] 62J05 - Linear regression; mixed models [MSC 2020] 30C10 - Polynomials and rational functions of one complex variable [MSC 2020] 62H35 - Image analysis in multivariate analysis [MSC 2020] 62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62J07 - Ridge regression; shrinkage estimators (Lasso) [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 30C40 - Kernel functions in one complex variable and applications [MSC 2020] 14N20 - Configurations and arrangements of linear subspaces [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0114796 |
|
Vidal, René
|
||
| XXXII, 566 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Handbook of mathematical methods in imaging / Otmar Scherzer editor
| Handbook of mathematical methods in imaging / Otmar Scherzer editor |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | New York, : Springer, 2015 |
| Descrizione fisica | XVIII, 2178 p. : ill. ; 24 cm |
| Soggetto topico |
68U10 - Computing methodologies for image processing [MSC 2020]
65N22 - Numerical solution of discretized equations for boundary value problems involving PDEs [MSC 2020] 62H35 - Image analysis in multivariate analysis [MSC 2020] 65R32 - Numerical methods for inverse problems for integral equations [MSC 2020] |
| Soggetto non controllato |
Algorithmic Reconstruction
Mathematical Imaging and Vision Support Vector Machines Variation in Imaging Wave phenomena |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0113096 |
| New York, : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Handbook of mathematical methods in imaging / Otmar Scherzer editor
| Handbook of mathematical methods in imaging / Otmar Scherzer editor |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | New York, : Springer, 2015 |
| Descrizione fisica | XVIII, 2178 p. : ill. ; 24 cm |
| Soggetto topico |
62H35 - Image analysis in multivariate analysis [MSC 2020]
65N22 - Numerical solution of discretized equations for boundary value problems involving PDEs [MSC 2020] 65R32 - Numerical methods for inverse problems for integral equations [MSC 2020] 68U10 - Computing methodologies for image processing [MSC 2020] |
| Soggetto non controllato |
Algorithmic Reconstruction
Mathematical Imaging and Vision Support Vector Machines Variation in Imaging Wave phenomena |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00113096 |
| New York, : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Soggetto topico
-
62H35 - Image analysis in multivariate analysis [MSC 2020]
(27)
- 62-XX - Statistics [MSC 2020] (14)
- 65D18 - Numerical aspects of computer graphics, image analysis, and computational geometry [MSC 2020] (9)
- 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] (7)
- 62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] (6)