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Visual Saliency Computation: A Machine Learning Perspective - Lecture Notes in Computer Science Jia Li 2014 edition
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Visual Saliency Computation: A Machine Learning Perspective - Lecture Notes in Computer Science
Jia Li
This book covers fundamental principles and computational approaches relevant to visual saliency computation. and progressively explore the problems in detecting salient locations, extracting salient objects, learning prior knowledge, evaluating performance, and using saliency in real-world applications.
252 pages, 100 black & white illustrations, biography
| Media | Bøker Pocketbok (Bok med mykt omslag og limt rygg) |
| Utgitt | 15. mai 2014 |
| ISBN13 | 9783319056418 |
| Utgivere | Springer International Publishing AG |
| Antall sider | 240 |
| Mål | 175 × 235 × 15 mm · 388 g |
| Språk | Fransk |
| Redaktør | Gao, Wen |
| Redaktør | Li, Jia |
![Cover for Jia Li · Image Segmentation and Compression Using Hidden Markov Models - The Springer International Series in Engineering and Computer Science (Pocketbok) [Softcover reprint of the original 1st ed. 2000 edition] (2012)](https://imusic.b-cdn.net/images/item/original/277/9781461370277.jpg?jia-li-2012-image-segmentation-and-compression-using-hidden-markov-models-the-springer-international-series-in-engineering-and-computer-science-pocketbok&class=scaled&v=1428383514)