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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
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2014. gada 15. maijs |
| ISBN13 | 9783319056418 |
| Izdevēji | Springer International Publishing AG |
| Lapas | 240 |
| Izmēri | 175 × 235 × 15 mm · 388 g |
| Valoda | Franču |
| Redaktors | Gao, Wen |
| Redaktors | Li, Jia |
![Cover for Jia Li · Image Segmentation and Compression Using Hidden Markov Models - The Springer International Series in Engineering and Computer Science (Paperback Book) [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-paperback-book&class=scaled&v=1428383514)