The Shield - Gesetz der Gewalt | Chapter 327 | Mortal Kombat X (2015-) #1

The Radical Critique of Liberalism In Memory of a Vision


The Radical Critique of Liberalism In Memory of a Vision

Toula Nicolacopoulos, "The Radical Critique of Liberalism: In Memory of a Vision"
2008 | pages: 295 | ISBN: 098030525X | PDF | 2,3 mb

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Geometric Algebra Applications Vol. I Computer Vision, Graphics and Neurocomputing


Geometric Algebra Applications Vol. I Computer Vision, Graphics and Neurocomputing

Geometric Algebra Applications Vol. I: Computer Vision, Graphics and Neurocomputing by Eduardo Bayro-Corrochano
English | PDF,EPUB | 2018 (2019 Edition) | 753 Pages | ISBN : 3319748289 | 43.69 MB
The goal of the Volume I Geometric Algebra for Computer Vision, Graphics and Neural Computing is to present a unified mathematical treatment of diverse problems in the general domain of artificial intelligence and associated fields using Clifford, or geometric, algebra.

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Turing's Vision: The Birth of Computer Science

Turing's Vision: The Birth of Computer Science

Chris Bernhardt, "Turing's Vision: The Birth of Computer Science"
English | ISBN: 0262034549, 0262533510 | 2016 | 208 pages | PDF | 2 MB
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Reclaiming the State: A Progressive Vision of Sovereignty for a Post-Neoliberal World

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William Mitchell, Thomas Fazi, "Reclaiming the State: A Progressive Vision of Sovereignty for a Post-Neoliberal World"
ISBN: 0745337333, 0745337325 | 2017 | EPUB/PDF | 256 pages | 457 KB/1 MB
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Make Anything Happen A Creative Guide to Vision Boards, Goal Setting, and Achieving the Life of Your Dreams


Make Anything Happen A Creative Guide to Vision Boards, Goal Setting, and Achieving the Life of Your Dreams

Carrie Lindsey, "Make Anything Happen: A Creative Guide to Vision Boards, Goal Setting, and Achieving the Life of Your Dreams"
ISBN: 1510734147 | 2018 | EPUB | 160 pages | 40 MB

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Java Machine Learning for Computer Vision

Java Machine Learning for Computer Vision
Java Machine Learning for Computer Vision
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 5 Hours | 800 MB
Genre: eLearning | Language: English

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Sharing a Vision: Systems and Algorithms for Collaboratively-Teleoperated Robotic Cameras

Sharing a Vision: Systems and Algorithms for Collaboratively-Teleoperated Robotic Cameras

Sharing a Vision: Systems and Algorithms for Collaboratively-Teleoperated Robotic Cameras By Dezhen Song
English | PDF | 2009 | 193 Pages | ISBN : 354088064X | 24.27 MB
The monograph written by Dezhen Song is focused on a robotic camera simultaneously controlled by multiple online users via the Internet. A challenging match between the collaboratively tele-operated robotic cameras and the needs from nature environment observation is sought, which greatly extends the domain of online robots in both application and technology development directions, including building construction site monitoring, public space surveillance, and distance education. New solutions are proposed which demonstrate the enormous potential of Internet-based infrastructures for immediate success in the market.
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Computer Vision Beyond the Visible Spectrum

Computer Vision Beyond the Visible Spectrum

Computer Vision Beyond the Visible Spectrum By Bir Bhanu
English | PDF | 2005 | 322 Pages | ISBN : 1852336048 | 4.74 MB
Recently, there has been a dramatic increase in the use of sensors in the non-visible bands. As a result, there is a need for existing computer vision methods and algorithms to be adapted for use with non-visible sensors, or for the development of completely new methods and systems. Computer Vision Beyond the Visible Spectrum is the first book to bring together state-of-the-art work in this area. It presents new & pioneering research across the electromagnetic spectrum in the military, commercial, and medical domains. By providing a detailed examination of each of these areas, it focuses on the development of state-of-the-art algorithms and looks at how they can be used to solve existing & new challenges within computer vision. Essential reading for academics & industrial researchers working in the area of computer vision, image processing, and medical imaging, it will also be useful background reading for advanced undergraduate & postgraduate students.
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Mastering computer vision problems with state-of-the-art deep learning architectures, MXNet, and GPU virtual machines


Mastering computer vision problems with state-of-the-art deep learning architectures, MXNet, and GPU virtual machines
Mastering computer vision problems with state-of-the-art deep learning architectures, MXNet, and GPU virtual machines
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 38M | 391 MB
Genre: eLearning | Language: English

Deep learning has been especially successful in computer-vision tasks such as image classification because convolutional neural nets (CNNs) can create hierarchical levels of representations in an image. One of the most remarkable advances is ResNet, the CNN that surpassed human-level accuracy for the first time in history.

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Consumer Depth Cameras for Computer Vision Research Topics and Applications


Consumer Depth Cameras for Computer Vision Research Topics and Applications

Consumer Depth Cameras for Computer Vision: Research Topics and Applications By Andrea Fossati
English | PDF,EPUB | 2013 | 220 Pages | ISBN : 1447146395 | 14.98 MB
The potential of consumer depth cameras extends well beyond entertainment and gaming, to real-world commercial applications. This authoritative text reviews the scope and impact of this rapidly growing field, describing the most promising Kinect-based research activities, discussing significant current challenges, and showcasing exciting applications. Features: presents contributions from an international selection of preeminent authorities in their fields, from both academic and corporate research; addresses the classic problem of multi-view geometry of how to correlate images from different viewpoints to simultaneously estimate camera poses and world points; examines human pose estimation using video-rate depth images for gaming, motion capture, 3D human body scans, and hand pose recognition for sign language parsing; provides a review of approaches to various recognition problems, including category and instance learning of objects, and human activity recognition; with a Foreword by Dr. Jamie Shotton.

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