Hierarchical Neural Networks for Image Interpretation (Record no. 34518)
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000 -LEADER | |
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fixed length control field | 03002nam a22005655i 4500 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783540451693 |
-- | 978-3-540-45169-3 |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 004.0151 |
100 1# - MAIN ENTRY--AUTHOR NAME | |
Personal name | Behnke, Sven. |
245 10 - TITLE STATEMENT | |
Title | Hierarchical Neural Networks for Image Interpretation |
Statement of responsibility, etc | by Sven Behnke. |
260 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Place of publication | Berlin, Heidelberg : |
Name of publisher | Springer Berlin Heidelberg, |
Year of publication | 2003. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XIII, 227 p. |
Other physical details | online resource. |
490 1# - SERIES STATEMENT | |
Series statement | Lecture Notes in Computer Science, |
505 0# - FORMATTED CONTENTS NOTE | |
Formatted contents note | 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. |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Computer science. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Neurosciences. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Computer software. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Artificial intelligence. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Computer vision. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Optical pattern recognition. |
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Computer Science. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Computation by Abstract Devices. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Neurosciences. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Algorithm Analysis and Problem Complexity. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Artificial Intelligence (incl. Robotics). |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Image Processing and Computer Vision. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Pattern Recognition. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | http://dx.doi.org/10.1007/b11963 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | E-BOOKS |
264 #1 - | |
-- | Berlin, Heidelberg : |
-- | Springer Berlin Heidelberg, |
-- | 2003. |
336 ## - | |
-- | text |
-- | txt |
-- | rdacontent |
337 ## - | |
-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
-- | cr |
-- | rdacarrier |
347 ## - | |
-- | text file |
-- | |
-- | rda |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 0302-9743 ; |
Withdrawn status | Lost status | Damaged status | Not for loan | Current library | Accession Number | Uniform Resource Identifier | Koha item type |
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IMSc Library | EBK5224 | http://dx.doi.org/10.1007/b11963 | E-BOOKS |