Zbirka: Računalniški vid
15 rezultatov
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We See It All - liberty and justice in the age of perpetual surveillance()Vezava:23,61 €
We See It All - liberty and justice in the age of perpetual surveillance
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Multiple View Geometry in Computer Vision(2004) HARTLEY, RICHARD (AUSTRALIAN NATIONAL UNIVERSITY, CANBERRA),ZISSERMAN, ANDREW (UNIVERSITY OF OXFORD)The theory and practice of scene reconstruction are described in detail in a unified framework. The new edition features an extended introduction covering the key ideas in the book (which itself has been updated with additional examples and appendices) anVezava: Mehka137,01 €
HARTLEY, RICHARD (AUSTRALIAN NATIONAL UNIVERSITY, CANBERRA),ZISSERMAN, ANDREW (UNIVERSITY OF OXFORD)
Multiple View Geometry in Computer Vision
The theory and practice of scene reconstruction are described in detail in a unified framework. The new edition features an extended introduction covering the key ideas in the book (which itself has been updated with additional examples and appendices) an
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Practical Glimpse - Learn to Edit and Create Digital Photos and Art with This Powerful Open Source Image Editor(2020) WHITT, PHILLIPVezava: Mehka22,96 €
WHITT, PHILLIP
Practical Glimpse - Learn to Edit and Create Digital Photos and Art with This Powerful Open Source Image Editor
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Practical Computer Vision Applications Using Deep Learning with CNNs - With Detailed Examples in Python Using TensorFlow and Kivy(2018) GAD, AHMED FAWZYVezava: Mehka99,21 €
GAD, AHMED FAWZY
Practical Computer Vision Applications Using Deep Learning with CNNs - With Detailed Examples in Python Using TensorFlow and Kivy
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Programming Computer Vision with Python(2012) SOLEM, JAN ERIKIf you want a basic understanding of computer vision's underlying theory and algorithms, this hands-on introduction is the ideal place to start. Programming Computer Vision with Python teaches computer vision in broad terms that won't bog you down in theoVezava: Mehka61,56 €
SOLEM, JAN ERIK
Programming Computer Vision with Python
If you want a basic understanding of computer vision's underlying theory and algorithms, this hands-on introduction is the ideal place to start. Programming Computer Vision with Python teaches computer vision in broad terms that won't bog you down in theo
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Linear Algebra And Optimization With Applications To Machine Learning - Volume I: Linear Algebra For Computer Vision, Robotics, And Machine Learning(2020) GALLIER, JEAN H (UNIV OF PENNSYLVANIA, USA),QUAINTANCE, JOCELYN (UNIV OF PENNSYLVANIA, USA)Vezava: Mehka132,89 €
GALLIER, JEAN H (UNIV OF PENNSYLVANIA, USA),QUAINTANCE, JOCELYN (UNIV OF PENNSYLVANIA, USA)
Linear Algebra And Optimization With Applications To Machine Learning - Volume I: Linear Algebra For Computer Vision, Robotics, And Machine Learning
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Meta-heuristic Optimization Techniques - Applications in Engineering(2022)Vezava: Trda168,13 €
Meta-heuristic Optimization Techniques - Applications in Engineering
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Computational Methods for Deep Learning(2020) YAN, WEI QIIntegrating concepts from deep learning, machine learning, and artificial neural networks, this highly unique textbook presents content progressively from easy to more complex, orienting its content about knowledge transfer from the viewpoint of machine iVezava: Trda83,95 €
YAN, WEI QI
Computational Methods for Deep Learning
Integrating concepts from deep learning, machine learning, and artificial neural networks, this highly unique textbook presents content progressively from easy to more complex, orienting its content about knowledge transfer from the viewpoint of machine i
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Deep Learning on Graphs(2021) MA, YAO (MICHIGAN STATE UNIVERSITY),TANG, JILIANG (MICHIGAN STATE UNIVERSITY)This comprehensive text on the theory and techniques of graph neural networks takes students, practitioners, and researchers from the basics to the state of the art. It systematically introduces foundational topics such as filtering pooling, robustness, aVezava: Trda79,71 €
MA, YAO (MICHIGAN STATE UNIVERSITY),TANG, JILIANG (MICHIGAN STATE UNIVERSITY)
Deep Learning on Graphs
This comprehensive text on the theory and techniques of graph neural networks takes students, practitioners, and researchers from the basics to the state of the art. It systematically introduces foundational topics such as filtering pooling, robustness, a
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Biometrics(2018) FAIRHURST, MICHAEL (PROFESSOR OF COMPUTER VISION, UNIVERSITY OF KENT)With the rise of digital technologies the need for effective means of identification has grown enormously. Biometrics is the rapidly growing science of identifying individuals through biological characteristics, from iris patterning to voice recognition.Vezava: Mehka12,50 €
FAIRHURST, MICHAEL (PROFESSOR OF COMPUTER VISION, UNIVERSITY OF KENT)
Biometrics
With the rise of digital technologies the need for effective means of identification has grown enormously. Biometrics is the rapidly growing science of identifying individuals through biological characteristics, from iris patterning to voice recognition.
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Generative Deep Learning(2023) FOSTER, DAVIDGenerative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratchVezava: Mehka82,08 €
FOSTER, DAVID
Generative Deep Learning
Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch
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