Special Issue On Machine Vision And Applications

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Special Issue On Machine Vision And Applications

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Author : Ahmed M. Darwish
language : en
Publisher:
Release Date : 1993

Special Issue On Machine Vision And Applications written by Ahmed M. Darwish and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with categories.

Special Issue On Machine Learning For Vision

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Author :
language : en
Publisher:
Release Date : 2007

Special Issue On Machine Learning For Vision written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.

Special Issue On Machine Vision Applications

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Author : Akira Maeda
language : en
Publisher:
Release Date : 1996

Special Issue On Machine Vision Applications written by Akira Maeda and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with categories.

Special Issue Computer Vision Systems

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Author : Bernt Schiele
language : en
Publisher:
Release Date : 2003

Special Issue Computer Vision Systems written by Bernt Schiele and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with categories.

Special Issue High Performance Computing For Industrial Visual Inspection

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Author :
language : en
Publisher:
Release Date : 2000

Special Issue High Performance Computing For Industrial Visual Inspection written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with categories.

Special Issue On Machine Learning Applications

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Author :
language : en
Publisher:
Release Date : 1995

Special Issue On Machine Learning Applications written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Expert systems (Computer science) categories.

Special Issue On Machine Learning And Pattern Recognition

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Author :
language : en
Publisher:
Release Date : 2010

Special Issue On Machine Learning And Pattern Recognition written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.

Covariances In Computer Vision And Machine Learning

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Author : Hà Quang Minh
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2017-11-07

Covariances In Computer Vision And Machine Learning written by Hà Quang Minh and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-07 with Computers categories.

Covariance matrices play important roles in many areas of mathematics, statistics, and machine learning, as well as their applications. In computer vision and image processing, they give rise to a powerful data representation, namely the covariance descriptor, with numerous practical applications. In this book, we begin by presenting an overview of the {\it finite-dimensional covariance matrix} representation approach of images, along with its statistical interpretation. In particular, we discuss the various distances and divergences that arise from the intrinsic geometrical structures of the set of Symmetric Positive Definite (SPD) matrices, namely Riemannian manifold and convex cone structures. Computationally, we focus on kernel methods on covariance matrices, especially using the Log-Euclidean distance. We then show some of the latest developments in the generalization of the finite-dimensional covariance matrix representation to the {\it infinite-dimensional covariance operator} representation via positive definite kernels. We present the generalization of the affine-invariant Riemannian metric and the Log-Hilbert-Schmidt metric, which generalizes the Log Euclidean distance. Computationally, we focus on kernel methods on covariance operators, especially using the Log-Hilbert-Schmidt distance. Specifically, we present a two-layer kernel machine, using the Log-Hilbert-Schmidt distance and its finite-dimensional approximation, which reduces the computational complexity of the exact formulation while largely preserving its capability. Theoretical analysis shows that, mathematically, the approximate Log-Hilbert-Schmidt distance should be preferred over the approximate Log-Hilbert-Schmidt inner product and, computationally, it should be preferred over the approximate affine-invariant Riemannian distance. Numerical experiments on image classification demonstrate significant improvements of the infinite-dimensional formulation over the finite-dimensional counterpart. Given the numerous applications of covariance matrices in many areas of mathematics, statistics, and machine learning, just to name a few, we expect that the infinite-dimensional covariance operator formulation presented here will have many more applications beyond those in computer vision.

Special Issue On Ieee Workshop On Applications Of Computer Vision Wacv 2000

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Author : Bir Bhanu
language : en
Publisher:
Release Date : 2002

Special Issue On Ieee Workshop On Applications Of Computer Vision Wacv 2000 written by Bir Bhanu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with categories.

Document Image Analysis Techniques

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Author :
language : en
Publisher:
Release Date : 1992

Document Image Analysis Techniques written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with categories.