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02770nam a22003975i 4500 |
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000280730 |
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20210630144336.0 |
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cr nn 008mamaa |
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170801s2017 gw | s |||| 0|eng d |
| 020 |
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|a 9783319616575
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| 024 |
7 |
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|a 10.1007/978-3-319-61657-5
|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 |
0 |
|a Deep Learning for Biometrics /
|c edited by Bir Bhanu, Ajay Kumar.
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| 250 |
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|a 1st ed. 2017.
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| 260 |
# |
# |
|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2017.
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| 300 |
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|a XXXI, 312 p. 117 illus., 96 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 Advances in Computer Vision and Pattern Recognition,
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| 505 |
0 |
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|a Part I: Deep Learning for Face Biometrics -- The Functional Neuroanatomy of Face Processing: Insights from Neuroimaging and Implications for Deep Learning -- Real-Time Face Identification via Multi-Convolutional Neural Network and Boosted Hashing Forest -- CMS-RCNN: Contextual Multi-Scale Region-Based CNN for Unconstrained Face Detection -- Part II: Deep Learning for Fingerprint, Fingervein and Iris Recognition -- Latent Fingerprint Image Segmentation Using Deep Neural Networks -- Finger Vein Identification Using Convolutional Neural Network and Supervised Discrete Hashing -- Iris Segmentation Using Fully Convolutional Encoder-Decoder Networks -- Part III: Deep Learning for Soft Biometrics -- Two-Stream CNNs for Gesture-Based Verification and Identification: Learning User Style -- DeepGender2: A Generative Approach Toward Occlusion and Low Resolution Robust Facial Gender Classification via Progressively Trained Attention Shift Convolutional Neural Networks (PTAS-CNN) and Deep Convolutional Generative Adversarial Networks (DCGAN) -- Gender Classification from NIR Iris Images Using Deep Learning -- Deep Learning for Tattoo Recognition -- Part IV: Deep Learning for Biometric Security and Protection -- Learning Representations for Cryptographic Hash Based Face Template Protection -- Deep Triplet Embedding Representations for Liveness Detection.
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| 650 |
|
0 |
|a Artificial intelligence.
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| 650 |
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0 |
|a Biometrics (Biology).
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| 650 |
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0 |
|a Computer science—Mathematics.
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| 650 |
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0 |
|a Computer mathematics.
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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 |
1 |
4 |
|a Artificial Intelligence.
|
| 650 |
2 |
4 |
|a Biometrics.
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| 650 |
2 |
4 |
|a Mathematical Applications in Computer Science.
|
| 650 |
2 |
4 |
|a Signal, Image and Speech Processing.
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| 700 |
1 |
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|a Bhanu, Bir.
|e editor.
|
| 700 |
1 |
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|a Kumar, Ajay.
|e editor.
|
| 710 |
2 |
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|a SpringerLink (Online service)
|
| 773 |
0 |
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|t Springer eBooks
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