An invitation to 3-D vision : from images to geometric models / Yi Ma ... [et al.] |
Pubbl/distr/stampa | New York, : Springer, 2004 |
Descrizione fisica | XX, 526 p. : ill. ; 25 cm. |
Soggetto topico |
68U10 - Computing methodologies for image processing [MSC 2020]
65D18 - Numerical aspects of computer graphics, image analysis, and computational geometry [MSC 2020] |
ISBN | 8-1-4419-1846-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-SUN0044470 |
New York, : Springer, 2004 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
An invitation to 3-D vision : from images to geometric models / Yi Ma ... [et al.] |
Pubbl/distr/stampa | New York, : Springer, 2004 |
Descrizione fisica | XX, 526 p. : ill. ; 25 cm |
Soggetto topico |
68U10 - Computing methodologies for image processing [MSC 2020]
65D18 - Numerical aspects of computer graphics, image analysis, and computational geometry [MSC 2020] |
ISBN | 978-14-419-1846-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN0044470 |
New York, : Springer, 2004 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
An invitation to 3-D vision : from images to geometric models / Yi Ma ... [et al.] |
Pubbl/distr/stampa | New York, : Springer, 2004 |
Descrizione fisica | XX, 526 p. : ill. ; 25 cm |
Soggetto topico |
65D18 - Numerical aspects of computer graphics, image analysis, and computational geometry [MSC 2020]
68U10 - Computing methodologies for image processing [MSC 2020] |
ISBN | 978-14-419-1846-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN00044470 |
New York, : Springer, 2004 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Dynamical Vision [Risorsa elettronica] : ICCV 2005 and ECCV 2006 Workshops, WDV 2005 and WDV 2006, Beijing, China, October 21, 2005, Graz, Austria, May 13, 2006. Revised Papers / edited by René Vidal, Anders Heyden, Yi Ma |
Pubbl/distr/stampa | Berlin ; Heidelberg : Springer, 2007 |
Collana | Lecture Notes in Computer Science |
ISBN | 9783540709329 |
Formato | Risorse elettroniche |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-990009245420403321 |
Berlin ; Heidelberg : Springer, 2007 | ||
Risorse elettroniche | ||
Lo trovi qui: Univ. Federico II | ||
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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 |
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 |
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 | ||
|