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03201nam a22004335i 4500 |
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000281124 |
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20210722102032.0 |
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cr nn 008mamaa |
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160629s2016 xxu| s |||| 0|eng d |
| 020 |
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|a 9781493934355
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| 024 |
7 |
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|a 10.1007/978-1-4939-3435-5
|2 doi
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| 040 |
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|a Sistema de Bibliotecas del Tecnológico de Costa Rica
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| 245 |
1 |
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|a From Human Attention to Computational Attention :
|b A Multidisciplinary Approach /
|c edited by Matei Mancas, Vincent P. Ferrera, Nicolas Riche, John G. Taylor.
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| 250 |
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|a 1st ed. 2016.
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| 260 |
# |
# |
|a New York, NY :
|b Springer New York :
|b Imprint: Springer,
|c 2016.
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| 300 |
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|a VIII, 463 p. 237 illus., 186 illus. in color. :
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 490 |
1 |
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|a Springer Series in Cognitive and Neural Systems,
|v 10
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| 505 |
0 |
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|a Foreword, V. Cutsuridis -- 1 Why modeling attention in computers?, M. Mancas, V. Ferrera, N. Riche -- 2 What is attention?, M. Mancas -- 3 How to measure attention?, M. Mancas, V. Ferrera -- 4 Where: Human attention networks and their dysfunctions after brain damage, T. Seidel Malkinson, P. Bartolomeo -- 5 Attention and Signal Detection: A Practical Guide, V. Ferrera -- 6 Effects of Attention in Visual Cortex: Linking Single Neuron Physiology to Visual Detection and Discrimination, V. Ferrera -- 7 Modeling attention in engineering, M. Mancas -- 8 Bottom-Up Visual Attention for Still Images: a Global View, F. Stentiford -- 9 Bottom-up saliency models for still images: a practical review, N. Riche and M. Mancas -- 10 Bottom-up saliency models for videos: a practical review, N. Riche and M. Mancas -- 11 Databases for saliency models evaluation, N. Riche -- 12 Metrics for saliency models validation, N. Riche -- 13 Study of parameters affecting visual saliency assessment, N. Riche -- 14 Saliency models evaluation, N. Riche -- 15 Object-based Attention: cognitive and computational perspectives, A. Belardinelli -- 16 Multimodal saliency models for videos, Antoine Coutrot, Nathalie Guyader -- 17 Towards 3D visual saliency modelling, J. Leroy, N. Riche -- 18 Applications of saliency models, M. Mancas, O. Le Meur -- 19 Attentive Content-Based Image Retrieval, D. Awad, V. Courboulay, A. Revel -- 20 Saliency and Attention for Video Quality Assessment, D. Culibrk -- 21 Attentive Robots, S. Frintrop -- 22 Attention modeling: what are the next steps?, M. Mancas, V. Ferrera, N. Riche -- Index.
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| 650 |
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0 |
|a Neurosciences.
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| 650 |
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0 |
|a Optical data processing.
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| 650 |
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0 |
|a Signal processing.
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| 650 |
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0 |
|a Image processing.
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| 650 |
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0 |
|a Speech processing systems.
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| 650 |
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0 |
|a Artificial intelligence.
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| 650 |
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0 |
|a Human physiology.
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| 650 |
1 |
4 |
|a Neurosciences.
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| 650 |
2 |
4 |
|a Image Processing and Computer Vision.
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| 650 |
2 |
4 |
|a Signal, Image and Speech Processing.
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| 650 |
2 |
4 |
|a Artificial Intelligence.
|
| 650 |
2 |
4 |
|a Human Physiology.
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| 700 |
1 |
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|a Mancas, Matei.
|e editor.
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| 700 |
1 |
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|a Ferrera, Vincent P.
|e editor.
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| 700 |
1 |
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|a Riche, Nicolas.
|e editor.
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| 700 |
1 |
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|a Taylor, John G.
|e editor.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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