Machine Learning and Visual Perception / (Record no. 84490)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04449nam a22008415i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 9783110595567 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240730161619.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 230127t20202020gw fo d z eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783110595567 |
| 041 0# - LANGUAGE CODE | |
| Language code of text/sound track or separate title | |
| 100 1# - AUTHOR NAME | |
| Author | Zhang, Baochang, |
| 245 10 - TITLE STATEMENT | |
| Title | Machine Learning and Visual Perception / |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 online resource (X, 142 p.) |
| 490 0# - SERIES STATEMENT | |
| Series statement | De Gruyter Textbook |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | The book provides an up-to-date on machine learning and visual perception, including decision tree, Bayesian learning, support vector machine, AdaBoost, object detection, compressive sensing, deep learning, and reinforcement learning. Both classic and novel algorithms are introduced. With abundant practical examples, it is an essential reference to students, lecturers, professionals, and any interested lay readers. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Tsinghua University Press, |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1515/9783110595567 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://www.degruyter.com/isbn/9783110595567 |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://www.degruyter.com/document/cover/isbn/9783110595567/original |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Berlin ; |
| -- | Boston : |
| -- | De Gruyter, |
| -- | [2020] |
| 264 #4 - | |
| -- | ©2020 |
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| -- | text |
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| -- | computer |
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| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
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| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 588 0# - | |
| -- | Description based on online resource; title from PDF title page (publisher's Web site, viewed 27. Jan 2023) |
| 912 ## - | |
| -- | 978-3-11-061685-9 EBOOK PACKAGE COMPLETE DG 2019 English |
| -- | 2019 |
| 912 ## - | |
| -- | 978-3-11-065906-1 De Gruyter English eBooks 2020 - UC |
| -- | 2020 |
| 912 ## - | |
| -- | 978-3-11-069627-1 DG Plus DeG Package 2020 Part 1 |
| -- | 2020 |
| 912 ## - | |
| -- | 978-3-11-069628-8 DG Ebook Package English 2020 |
| -- | 2020 |
| 912 ## - | |
| -- | 978-3-11-070471-6 EBOOK PACKAGE COMPLETE 2020 English |
| -- | 2020 |
| 912 ## - | |
| -- | 978-3-11-070481-5 EBOOK PACKAGE Engineering, Computer Sciences 2020 English |
| -- | 2020 |
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| -- | ZDB-23-DEI |
| -- | 2020 |
| 912 ## - | |
| -- | ZDB-23-DGG |
| -- | 2020 |
No items available.