From Pixels To Features

Download From Pixels To Features full books in PDF, epub, and Kindle. Read online From Pixels To Features ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

From Pixels to Features III

Author : Sebastiano Impedovo
Publisher : North Holland
ISBN 13 :
Total Pages : 540 pages
Book Rating : 4.3/5 (91 download)

DOWNLOAD NOW!

Book Synopsis From Pixels to Features III by : Sebastiano Impedovo

Download or read book From Pixels to Features III written by Sebastiano Impedovo and published by North Holland. This book was released on 1992 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: The papers in this volume deal specifically with the problem of handwriting recognition and the new frontiers of research in the scientific community - including the significance of linguistic and contextual information in handwriting recognition and for adaptive preprocessing and postprocessing. Also addressed are problems related to human and computer behaviour in recognition. The aim of this book is not only to point out the state-of-the-art and the frontiers in the field of handwriting recognition, but also to stimulate research and ideas in the fields of design and implementation of on-line and off-line systems that recognize isolated and connected handwritten characters, words and signatures."

From Pixels to Features II

Author : Hans Burkhardt
Publisher : North Holland
ISBN 13 :
Total Pages : 466 pages
Book Rating : 4.3/5 (91 download)

DOWNLOAD NOW!

Book Synopsis From Pixels to Features II by : Hans Burkhardt

Download or read book From Pixels to Features II written by Hans Burkhardt and published by North Holland. This book was released on 1991 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: Parallelism in problems of low- and medium-level image processing and pattern recognition is the subject of this book. It covers the investigation of parallelism in algorithms and in fundamental methods of image processing and pattern recognition. Based on this, new concepts for parallel architectures are derived and their performance is evaluated. Different hardware structures such as SIMD, MIMD, data flow machines, transputer systems, neural networks and interconnection networks are described, including high-speed VLSI-implementations. Additional topics covered include software aspects and image processing systems.

Interpretable Machine Learning

Author : Christoph Molnar
Publisher : Lulu.com
ISBN 13 : 0244768528
Total Pages : 320 pages
Book Rating : 4.2/5 (447 download)

DOWNLOAD NOW!

Book Synopsis Interpretable Machine Learning by : Christoph Molnar

Download or read book Interpretable Machine Learning written by Christoph Molnar and published by Lulu.com. This book was released on 2020 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.

Practical Computer Vision with SimpleCV

Author : Kurt Demaagd
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449320368
Total Pages : 255 pages
Book Rating : 4.4/5 (493 download)

DOWNLOAD NOW!

Book Synopsis Practical Computer Vision with SimpleCV by : Kurt Demaagd

Download or read book Practical Computer Vision with SimpleCV written by Kurt Demaagd and published by "O'Reilly Media, Inc.". This book was released on 2012 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to build your own computer vision (CV) applications quickly and easily with SimpleCV, an open source framework written in Python. Through examples of real-world applications, this hands-on guide introduces you to basic CV techniques for collecting, processing, and analyzing streaming digital images. You'll then learn how to apply these methods with SimpleCV, using sample Python code. All you need to get started is a Windows, Mac, or Linux system, and a willingness to put CV to work in a variety of ways. Programming experience is optional. Capture images from several sources, including webcams, smartphones, and Kinect Filter image input so your application processes only necessary information Manipulate images by performing basic arithmetic on pixel values Use feature detection techniques to focus on interesting parts of an image Work with several features in a single image, using the NumPy and SciPy Python libraries Learn about optical flow to identify objects that change between two image frames Use SimpleCV's command line and code editor to run examples and test techniques

Advances in Document Image Analysis

Author : Nabeel A. Murshed
Publisher : Springer Science & Business Media
ISBN 13 : 9783540637912
Total Pages : 364 pages
Book Rating : 4.6/5 (379 download)

DOWNLOAD NOW!

Book Synopsis Advances in Document Image Analysis by : Nabeel A. Murshed

Download or read book Advances in Document Image Analysis written by Nabeel A. Murshed and published by Springer Science & Business Media. This book was released on 1997-10-22 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First Brazilian Symposium on Document Image Analysis, BSDIA'97, held in Curitiba in November 1997. The volume presents 19 revised full papers selected from 30 submissions as well as eight full-paper invited contributions by internationally leading authorities. The invited papers give a unique survey of the state of the art in the area. The selected papers are organized in sections on low level processing, document processing and retrieval, handwriting recognition, signature verification, and application systems.

Feature Extraction and Image Processing for Computer Vision

Author : Mark Nixon
Publisher : Academic Press
ISBN 13 : 0123978246
Total Pages : 629 pages
Book Rating : 4.1/5 (239 download)

DOWNLOAD NOW!

Book Synopsis Feature Extraction and Image Processing for Computer Vision by : Mark Nixon

Download or read book Feature Extraction and Image Processing for Computer Vision written by Mark Nixon and published by Academic Press. This book was released on 2012-12-18 with total page 629 pages. Available in PDF, EPUB and Kindle. Book excerpt: Feature Extraction and Image Processing for Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, "The main strength of the proposed book is the exemplar code of the algorithms." Fully updated with the latest developments in feature extraction, including expanded tutorials and new techniques, this new edition contains extensive new material on Haar wavelets, Viola-Jones, bilateral filtering, SURF, PCA-SIFT, moving object detection and tracking, development of symmetry operators, LBP texture analysis, Adaboost, and a new appendix on color models. Coverage of distance measures, feature detectors, wavelets, level sets and texture tutorials has been extended. - Named a 2012 Notable Computer Book for Computing Methodologies by Computing Reviews - Essential reading for engineers and students working in this cutting-edge field - Ideal module text and background reference for courses in image processing and computer vision - The only currently available text to concentrate on feature extraction with working implementation and worked through derivation

Texture Feature Extraction Techniques for Image Recognition

Author : Jyotismita Chaki
Publisher : Springer Nature
ISBN 13 : 9811508534
Total Pages : 109 pages
Book Rating : 4.8/5 (115 download)

DOWNLOAD NOW!

Book Synopsis Texture Feature Extraction Techniques for Image Recognition by : Jyotismita Chaki

Download or read book Texture Feature Extraction Techniques for Image Recognition written by Jyotismita Chaki and published by Springer Nature. This book was released on 2019-10-24 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book describes various texture feature extraction approaches and texture analysis applications. It introduces and discusses the importance of texture features, and describes various types of texture features like statistical, structural, signal-processed and model-based. It also covers applications related to texture features, such as facial imaging. It is a valuable resource for machine vision researchers and practitioners in different application areas.

Progress In Image Analysis And Processing Iii - Proceedings Of The 7th International Conference On Image Analysis And Processing

Author : Sebastiano Impedovo
Publisher : World Scientific
ISBN 13 : 9814552437
Total Pages : 760 pages
Book Rating : 4.8/5 (145 download)

DOWNLOAD NOW!

Book Synopsis Progress In Image Analysis And Processing Iii - Proceedings Of The 7th International Conference On Image Analysis And Processing by : Sebastiano Impedovo

Download or read book Progress In Image Analysis And Processing Iii - Proceedings Of The 7th International Conference On Image Analysis And Processing written by Sebastiano Impedovo and published by World Scientific. This book was released on 1994-04-06 with total page 760 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the proceedings of the 7ICIAP held in Monopoli, Italy.Some of the Areas Covered Include: Active Vision, Computer Vision System; Data Structures and Representations; Feature Extraction; Geometric Modelling; Human Perception and Computer Vision; Image Analysis; Language for Image Modelling; Processing and Retrieval; Motion Analysis and Time Varying Images; Neurocomputing for Recognition; Parallel Computer Architecture; Pattern Recognition; Picture and Video Coding.

Visual Saliency: From Pixel-Level to Object-Level Analysis

Author : Jianming Zhang
Publisher : Springer
ISBN 13 : 3030048314
Total Pages : 138 pages
Book Rating : 4.0/5 (3 download)

DOWNLOAD NOW!

Book Synopsis Visual Saliency: From Pixel-Level to Object-Level Analysis by : Jianming Zhang

Download or read book Visual Saliency: From Pixel-Level to Object-Level Analysis written by Jianming Zhang and published by Springer. This book was released on 2019-01-21 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to recent advances in theory, algorithms and application of Boolean map distance for image processing. Applications include modeling what humans find salient or prominent in an image, and then using this for guiding smart image cropping, selective image filtering, image segmentation, image matting, etc. In this book, the authors present methods for both traditional and emerging saliency computation tasks, ranging from classical low-level tasks like pixel-level saliency detection to object-level tasks such as subitizing and salient object detection. For low-level tasks, the authors focus on pixel-level image processing approaches based on efficient distance transform. For object-level tasks, the authors propose data-driven methods using deep convolutional neural networks. The book includes both empirical and theoretical studies, together with implementation details of the proposed methods. Below are the key features for different types of readers. For computer vision and image processing practitioners: Efficient algorithms based on image distance transforms for two pixel-level saliency tasks; Promising deep learning techniques for two novel object-level saliency tasks; Deep neural network model pre-training with synthetic data; Thorough deep model analysis including useful visualization techniques and generalization tests; Fully reproducible with code, models and datasets available. For researchers interested in the intersection between digital topological theories and computer vision problems: Summary of theoretic findings and analysis of Boolean map distance; Theoretic algorithmic analysis; Applications in salient object detection and eye fixation prediction. Students majoring in image processing, machine learning and computer vision: This book provides up-to-date supplementary reading material for course topics like connectivity based image processing, deep learning for image processing; Some easy-to-implement algorithms for course projects with data provided (as links in the book); Hands-on programming exercises in digital topology and deep learning.

Deep Learning from Scratch

Author : Seth Weidman
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 149204136X
Total Pages : 220 pages
Book Rating : 4.4/5 (92 download)

DOWNLOAD NOW!

Book Synopsis Deep Learning from Scratch by : Seth Weidman

Download or read book Deep Learning from Scratch written by Seth Weidman and published by "O'Reilly Media, Inc.". This book was released on 2019-09-09 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many software engineers. This book provides a comprehensive introduction for data scientists and software engineers with machine learning experience. You’ll start with deep learning basics and move quickly to the details of important advanced architectures, implementing everything from scratch along the way. Author Seth Weidman shows you how neural networks work using a first principles approach. You’ll learn how to apply multilayer neural networks, convolutional neural networks, and recurrent neural networks from the ground up. With a thorough understanding of how neural networks work mathematically, computationally, and conceptually, you’ll be set up for success on all future deep learning projects. This book provides: Extremely clear and thorough mental models—accompanied by working code examples and mathematical explanations—for understanding neural networks Methods for implementing multilayer neural networks from scratch, using an easy-to-understand object-oriented framework Working implementations and clear-cut explanations of convolutional and recurrent neural networks Implementation of these neural network concepts using the popular PyTorch framework

Image Feature Detectors and Descriptors

Author : Ali Ismail Awad
Publisher : Springer
ISBN 13 : 3319288547
Total Pages : 437 pages
Book Rating : 4.3/5 (192 download)

DOWNLOAD NOW!

Book Synopsis Image Feature Detectors and Descriptors by : Ali Ismail Awad

Download or read book Image Feature Detectors and Descriptors written by Ali Ismail Awad and published by Springer. This book was released on 2016-02-22 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides readers with a selection of high-quality chapters that cover both theoretical concepts and practical applications of image feature detectors and descriptors. It serves as reference for researchers and practitioners by featuring survey chapters and research contributions on image feature detectors and descriptors. Additionally, it emphasizes several keywords in both theoretical and practical aspects of image feature extraction. The keywords include acceleration of feature detection and extraction, hardware implantations, image segmentation, evolutionary algorithm, ordinal measures, as well as visual speech recognition.

Practical Machine Learning for Computer Vision

Author : Valliappa Lakshmanan
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098102339
Total Pages : 481 pages
Book Rating : 4.0/5 (981 download)

DOWNLOAD NOW!

Book Synopsis Practical Machine Learning for Computer Vision by : Valliappa Lakshmanan

Download or read book Practical Machine Learning for Computer Vision written by Valliappa Lakshmanan and published by "O'Reilly Media, Inc.". This book was released on 2021-07-21 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques. This book provides a great introduction to end-to-end deep learning: dataset creation, data preprocessing, model design, model training, evaluation, deployment, and interpretability. Google engineers Valliappa Lakshmanan, Martin Görner, and Ryan Gillard show you how to develop accurate and explainable computer vision ML models and put them into large-scale production using robust ML architecture in a flexible and maintainable way. You'll learn how to design, train, evaluate, and predict with models written in TensorFlow or Keras. You'll learn how to: Design ML architecture for computer vision tasks Select a model (such as ResNet, SqueezeNet, or EfficientNet) appropriate to your task Create an end-to-end ML pipeline to train, evaluate, deploy, and explain your model Preprocess images for data augmentation and to support learnability Incorporate explainability and responsible AI best practices Deploy image models as web services or on edge devices Monitor and manage ML models

The Art of Feature Engineering

Author : Pablo Duboue
Publisher : Cambridge University Press
ISBN 13 : 1108709389
Total Pages : 287 pages
Book Rating : 4.1/5 (87 download)

DOWNLOAD NOW!

Book Synopsis The Art of Feature Engineering by : Pablo Duboue

Download or read book The Art of Feature Engineering written by Pablo Duboue and published by Cambridge University Press. This book was released on 2020-06-25 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical guide for data scientists who want to improve the performance of any machine learning solution with feature engineering.

Trends in Applied Intelligent Systems

Author : Nicolás García-Pedrajas
Publisher : Springer Science & Business Media
ISBN 13 : 3642130216
Total Pages : 802 pages
Book Rating : 4.6/5 (421 download)

DOWNLOAD NOW!

Book Synopsis Trends in Applied Intelligent Systems by : Nicolás García-Pedrajas

Download or read book Trends in Applied Intelligent Systems written by Nicolás García-Pedrajas and published by Springer Science & Business Media. This book was released on 2010-05-20 with total page 802 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three volume set LNAI 6096, LNAI 6097, and LNAI 6098 constitutes the thoroughly refereed conference proceedings of the 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligend Systems, IEA/AIE 2010, held in Cordoba, Spain, in June 2010.The total of 119 papers selected for the proceedings were carefully reviewed and selected from 297 submissions. The contributions highlight new trends and frontiers of applied artificial intelligence and show how new research could lead to new and innovative applications.

Visual Analysis of Behaviour

Author : Shaogang Gong
Publisher : Springer Science & Business Media
ISBN 13 : 0857296701
Total Pages : 358 pages
Book Rating : 4.8/5 (572 download)

DOWNLOAD NOW!

Book Synopsis Visual Analysis of Behaviour by : Shaogang Gong

Download or read book Visual Analysis of Behaviour written by Shaogang Gong and published by Springer Science & Business Media. This book was released on 2011-05-26 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a comprehensive treatment of visual analysis of behaviour from computational-modelling and algorithm-design perspectives. Topics: covers learning-group activity models, unsupervised behaviour profiling, hierarchical behaviour discovery, learning behavioural context, modelling rare behaviours, and “man-in-the-loop” active learning; examines multi-camera behaviour correlation, person re-identification, and “connecting-the-dots” for abnormal behaviour detection; discusses Bayesian information criterion, Bayesian networks, “bag-of-words” representation, canonical correlation analysis, dynamic Bayesian networks, Gaussian mixtures, and Gibbs sampling; investigates hidden conditional random fields, hidden Markov models, human silhouette shapes, latent Dirichlet allocation, local binary patterns, locality preserving projection, and Markov processes; explores probabilistic graphical models, probabilistic topic models, space-time interest points, spectral clustering, and support vector machines.

Remote Sensing Digital Image Analysis

Author : John A. Richards
Publisher : Springer Science & Business Media
ISBN 13 : 3540297111
Total Pages : 455 pages
Book Rating : 4.5/5 (42 download)

DOWNLOAD NOW!

Book Synopsis Remote Sensing Digital Image Analysis by : John A. Richards

Download or read book Remote Sensing Digital Image Analysis written by John A. Richards and published by Springer Science & Business Media. This book was released on 2006-01-16 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: Revised and enlarged to reflect new developments in the field, the fourth edition of this well-established text provides an introduction to quantitative evaluation of satellite- and aircraft-derived remotely retrieved data. Each chapter covers the pros and cons of digital remotely sensed data, without detailed mathematical treatment of computer based algorithms, but in a manner conductive to an understanding of their capabilities and limitations.

Character And Handwriting Recognition: Expanding Frontiers

Author : Patrick S P Wang
Publisher : World Scientific
ISBN 13 : 9814602787
Total Pages : 398 pages
Book Rating : 4.8/5 (146 download)

DOWNLOAD NOW!

Book Synopsis Character And Handwriting Recognition: Expanding Frontiers by : Patrick S P Wang

Download or read book Character And Handwriting Recognition: Expanding Frontiers written by Patrick S P Wang and published by World Scientific. This book was released on 1991-08-29 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: Character and handwriting recognition by computers is attracting much attention particularly because of its potential for application in many areas such as office automation, bank check processing, recognition of postal addresses and ZIP Codes, signature verification, and document and text recognition.Over the past four decades, many methods have been proposed, developed and tested for computers to recognize characters, and they have been reported in a variety of publications. The present volume is a coherent and integrated publication containing papers which give new research results in this increasingly active field. It is a boon to researchers, scientists and engineers who need to keep abreast of new developments in character and handwriting methodologies and applications.