MARC details
| 000 -LEADER |
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| fixed length control field |
02697nam a2200337Ia 4500 |
| 000 - LEADER |
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| fixed length control field |
03249nam a22003615i 4500 |
| 001 - CONTROL NUMBER |
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| control field |
978-981-99-0279-8 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20240319120907.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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| fixed length control field |
cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
230330s2023 si | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9789819902798 |
| -- |
978-981-99-0279-8 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
6.37 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Huang, Yan. |
| 9 (RLIN) |
31805 |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Deep Cognitive Networks |
| Statement of responsibility, etc. |
by Yan Huang, Liang Wang. |
| Medium |
[electronic resource] : |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
1st ed. 2023. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Singapore |
| Name of publisher, distributor, etc. |
Springer Nature Singapore |
| Date of publication, distribution, etc. |
2023 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
X, 62 p. 1 illus. |
| Other physical details |
online resource. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Although deep learning models have achieved great progress in vision, speech, language, planning, control, and many other areas, there still exists a large performance gap between deep learning models and the human cognitive system. Many researchers argue that one of the major reasons accounting for the performance gap is that deep learning models and the human cognitive system process visual information in very different ways. To mimic the performance gap, since 2014, there has been a trend to model various cognitive mechanisms from cognitive neuroscience, e.g., attention, memory, reasoning, and decision, based on deep learning models. This book unifies these new kinds of deep learning models and calls them deep cognitive networks, which model various human cognitive mechanisms based on deep learning models. As a result, various cognitive functions are implemented, e.g., selective extraction, knowledge reuse, and problem solving, for more effective information processing. This book first summarizes existing evidence of human cognitive mechanism modeling from cognitive psychology and proposes a general framework of deep cognitive networks that jointly considers multiple cognitive mechanisms. Then, it analyzes related works and focuses primarily but not exclusively, on the taxonomy of four key cognitive mechanisms (i.e., attention, memory, reasoning, and decision) surrounding deep cognitive networks. Finally, this book studies two representative cases of applying deep cognitive networks to the task of image-text matching and discusses important future directions. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Artificial intelligence. |
| 9 (RLIN) |
31806 |
|
|---|
| Topical term or geographic name entry element |
Artificial Intelligence. |
| 9 (RLIN) |
31807 |
|
|---|
| Topical term or geographic name entry element |
Computer Imaging, Vision, Pattern Recognition and Graphics. |
| 9 (RLIN) |
31808 |
|
|---|
| Topical term or geographic name entry element |
Computer vision. |
| 9 (RLIN) |
31809 |
|
|---|
| Topical term or geographic name entry element |
Computer Vision. |
| 9 (RLIN) |
31810 |
|
|---|
| Topical term or geographic name entry element |
Image processing |
| 9 (RLIN) |
31811 |
|
|---|
| Topical term or geographic name entry element |
Image processing. |
| 9 (RLIN) |
31811 |
|
|---|
| Topical term or geographic name entry element |
Image Processing. |
| 9 (RLIN) |
31812 |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Wang, Liang. |
| 9 (RLIN) |
31813 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://doi.org/10.1007/978-981-99-0279-8">https://doi.org/10.1007/978-981-99-0279-8</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
e-Book |
| Source of classification or shelving scheme |
Dewey Decimal Classification |
