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|a 1031918483
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|a Deep learning for image processing applications /
|c edited by D. Jude Hemanth and Vania Vieira Estrela.
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|a Amsterdam, Netherlands :
|b IOS Press,
|c 2017.
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| 300 |
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|a 1 online resource
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|a Advances in parallel computing ;
|v volume 31
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|a Includes indexes.
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|a Online resource; title from PDF title page (IOS Press, viewed April 20, 2018).
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|a Title Page; Preface; Contents; About the Editors; Mind, Machine, and Image Processing; Deep Neural Networks for Image Classification; Virtual Robotic Arm Control with Hand Gesture Recognition and Deep Learning Strategies; Intelligent Image Retrieval via Deep Learning Techniques; Advanced Stevia Disease Detection Using Deep Learning; Analysis of Tuberculosis Images Using Differential Evolutionary Extreme Learning Machines (DE-ELM); Object Retrieval with Deep Convolutional Features; Hierarchical Object Detection with Deep Reinforcement Learning; Big Data & Deep Data: Minding the Challenges.
|
| 505 |
8 |
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|a Sparse-Filtered Convolutional Neural Networks with Layer-Skipping (SF-CNNLS) for Intra-Class Variation of Vehicle Type RecognitionOn the Prospects of Using Deep Learning for Surveillance and Security Applications; Super-Resolution of Long Range Captured Iris Image Using Deep Convolutional Network; Subject Index; Author Index.
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|a Image processing
|x Digital techniques.
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|a Machine learning.
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|a Traitement d'images
|x Techniques numériques.
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| 650 |
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|a Apprentissage automatique.
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|a digital imaging.
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|a Estrela, Vania Vieira,
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|i Print version:
|t Deep learning for image processing applications.
|d Amsterdam : IOS Press, [2017]
|z 9781614998211
|w (OCoLC)1016944158
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|a Advances in parallel computing ;
|v v. 31.
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