| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910157412203321 |
|
|
Autore |
Drake Richard L. |
|
|
Titolo |
Gray's basic anatomy / / Richard L. Drake, A. Wayne Vogl, Adam W. M. Mitchell ; illustrations by Richard Tibbitts and Paul Richardson ; photographs by Ansell Horn |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Philadelphia, Pennsylvania : , : Elsevier, , 2018 |
|
©2018 |
|
|
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Edizione |
[Second edition.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (xx, 615 pages) : colour illustrations |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Human anatomy |
Health and fitness |
Anatomy |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
|
|
|
|
|
Nota di contenuto |
|
The body -- Back -- Thorax -- Abdomen -- Pelvis and perineum -- Lower limb -- Upper limb -- Head and neck |
|
|
|
|
|
|
|
|
Sommario/riassunto |
|
"Depend on Gray's Basic Anatomy, 2nd Edition to deliver superbly illustrated, authoritative, interactive content preferred by both students and faculty. Easy-to-read and concise, it has a strong clinical focus that's ideal for readers who need an efficient, high-yield anatomy textbook offering coverage of the most important anatomical concepts"--Publisher's description. |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2. |
Record Nr. |
UNINA9910144025803321 |
|
|
Autore |
Behnke Sven |
|
|
Titolo |
Hierarchical Neural Networks for Image Interpretation / / by Sven Behnke |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 |
|
|
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Edizione |
[1st ed. 2003.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (XIII, 227 p.) |
|
|
|
|
|
|
Collana |
|
Lecture Notes in Computer Science, , 0302-9743 ; ; 2766 |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Computers |
Neurosciences |
Algorithms |
Artificial intelligence |
Optical data processing |
Pattern perception |
Computation by Abstract Devices |
Algorithm Analysis and Problem Complexity |
Artificial Intelligence |
Image Processing and Computer Vision |
Pattern Recognition |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
Bibliographic Level Mode of Issuance: Monograph |
|
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references and index. |
|
|
|
|
|
|
Nota di contenuto |
|
I. Theory -- Neurobiological Background -- Related Work -- Neural Abstraction Pyramid Architecture -- Unsupervised Learning -- Supervised Learning -- II. Applications -- Recognition of Meter Values -- Binarization of Matrix Codes -- Learning Iterative Image Reconstruction -- Face Localization -- Summary and Conclusions. |
|
|
|
|
|
|
|
|
Sommario/riassunto |
|
Human performance in visual perception by far exceeds the performance of contemporary computer vision systems. While humans are able to perceive their environment almost instantly and reliably under a wide range of conditions, computer vision systems work well only under controlled conditions in limited domains. This book sets out to reproduce the robustness and speed of human perception by |
|
|
|
|
|
|
|
|
|
|
|
|
|
proposing a hierarchical neural network architecture for iterative image interpretation. The proposed architecture can be trained using unsupervised and supervised learning techniques. Applications of the proposed architecture are illustrated using small networks. Furthermore, several larger networks were trained to perform various nontrivial computer vision tasks. |
|
|
|
|
|
|
3. |
Record Nr. |
UNINA9910984614903321 |
|
|
Autore |
Tyner Artika R |
|
|
Titolo |
The Inclusive Leader : Taking Intentional Action for Justice and Equity |
|
|
|
|
|
Pubbl/distr/stampa |
|
|
La Vergne : , : American Bar Association, , 2022 |
|
©2022 |
|
|
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
|
|
Edizione |
[1st ed.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (123 pages) |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
| |