10 Best Computer Vision Pattern Recognition In The Us - Black Friday 2024

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Last Updated - November 23, 2024

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1

Springer

Algorithmic Advances in Riemannian Geometry and Applications: For Machine Learning, Computer Vision, Statistics, and Optimization (Advances in Computer Vision and Pattern Recognition)

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2

Academic Press

Group and Crowd Behavior for Computer Vision (Computer Vision and Pattern Recognition)

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3

Academic Press

Computer Vision for Microscopy Image Analysis (Computer Vision and Pattern Recognition)

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Springer

Pattern Recognition and Machine Learning (Information Science and Statistics)

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Academic Press

Vision Models for High Dynamic Range and Wide Colour Gamut Imaging: Techniques and Applications (Computer Vision and Pattern Recognition)

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The MIT Press

Foundations of Computer Vision (Adaptive Computation and Machine Learning series)

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Springer

Probabilistic Graphical Models: Principles and Applications (Advances in Computer Vision and Pattern Recognition)

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8

Academic Press
Pattern Recognition

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Size:72-10-115
Made In: Austria
Lens Color: Mirrored Brown
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9.0

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9

Springer

Guide to 3D Vision Computation: Geometric Analysis and Implementation (Advances in Computer Vision and Pattern Recognition)

8.9

Very Good

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10

Academic Press

Advanced Methods and Deep Learning in Computer Vision (Computer Vision and Pattern Recognition)

8.8

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10 Best Computer Vision Pattern Recognition In The Us - Black Friday 2024

1

Algorithmic Advances in Riemannian Geometry and Applications: For Machine Learning, Computer Vision, Statistics, and Optimization (Advances in Computer Vision and Pattern Recognition)

2

Group and Crowd Behavior for Computer Vision (Computer Vision and Pattern Recognition)

3

Computer Vision for Microscopy Image Analysis (Computer Vision and Pattern Recognition)

4

Pattern Recognition and Machine Learning (Information Science and Statistics)

5

Vision Models for High Dynamic Range and Wide Colour Gamut Imaging: Techniques and Applications (Computer Vision and Pattern Recognition)

6

Foundations of Computer Vision (Adaptive Computation and Machine Learning series)

7

Probabilistic Graphical Models: Principles and Applications (Advances in Computer Vision and Pattern Recognition)

8

Pattern Recognition

9

Guide to 3D Vision Computation: Geometric Analysis and Implementation (Advances in Computer Vision and Pattern Recognition)

10

Advanced Methods and Deep Learning in Computer Vision (Computer Vision and Pattern Recognition)

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