Video Image Detection Systems Installation Performance Criteria
Daniel T. Gottuk
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Advanced Analytics with Spark : Patterns for Learning from Data at Scale
Sandy Ryza
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The Singularity : Building a Better Future
Nishanth Mudkey
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3D papercraft inspirations, Creatures, abstracts and decor collection : 200 plus project images to keep you inspired
Sophie Marcoux
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Figure It Out : Getting from Information to Understanding
Stephen P Anderson
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Boosting-Based Face Detection and Adaptation
Cha Zhang
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Deformable Surface 3D Reconstruction from Monocular Images
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Camera Networks : The Acquisition and Analysis of Videos over Wide Areas
Amit K Roy-Chowdhury
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Data Association for Multi-Object Visual Tracking
Margrit Betke
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Multi-Modal Face Presentation Attack Detection
Jun Wan
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Person Re-Identification with Limited Supervision
Rameswar Panda
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Recognizing Planar Objects Using Invariant Image Features
Thomas H. Reiss
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Beginning with Deep Learning Using TensorFlow : A Beginners Guide to TensorFlow and Keras for Practicing Deep Learning Principles and Applications
Mohan Kumar Silaparasetty
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Computational Methods and Clinical Applications for Spine Imaging : Third International Workshop and Challenge, CSI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Procee
Tomaz Vrtovec
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Intelligent Technologies for Interactive Entertainment : 8th International Conference, INTETAIN 2016, Utrecht, The Netherlands, June 28-30, 2016, Revised Selected Papers
Ronald Poppe
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Pervasive Computing : Engineering Smart Systems
Natalia Silvis-Cividjian
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Learn OpenCV with Python by Examples : Implement Computer Vision Algorithms Provided by OpenCV with Python for Image Processing, Object Detection and Machine Learning
James Chen
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Computer Vision Projects with OpenCV and Python 3 : Six end-to-end projects built using machine learning with OpenCV, Python, and TensorFlow
Matthew Rever
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Deep Learning for Computer Vision with SAS : An Introduction
Robert Blanchard
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Beginning Microsoft Kinect for Windows SDK 2.0 : Motion and Depth Sensing for Natural User Interfaces
Mansib Rahman
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Practical Biometrics : From Aspiration to Implementation
Julian Ashbourn
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Deep Learning with PyTorch 1.x : Implement deep learning techniques and neural network architecture variants using Python
Laura Mitchell
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