Optimum Path Forest

Optimum Path Forest
Author: Alexandre Xavier Falcao,João Paulo Papa
Publsiher: Academic Press
Total Pages: 244
Release: 2022-01-17
ISBN 10: 0128226897
ISBN 13: 9780128226896
Language: EN, FR, DE, ES & NL

Optimum Path Forest Book Review:

Optimum-Path Forest: Theory, Algorithms, and Applications was first published in 2008 in its supervised and unsupervised versions with applications in medicine and image classification. Since then, it has expanded to a variety of other applications such as remote sensing, electrical and petroleum engineering, and biology. In recent years, multi-label and semi-supervised versions were also developed to handle video classification problems. The book presents the principles, algorithms and applications of Optimum-Path Forest, giving the theory and state-of-the-art as well as insights into future directions. Presents the first book on Optimum-path Forest Shows how it can be used with Deep Learning Gives a wide range of applications Includes the methods, underlying theory and applications of Optimum-Path Forest (OPF)

Graph Based Representations in Pattern Recognition

Graph Based Representations in Pattern Recognition
Author: Andrea Torsello,Francisco Escolano Ruiz,Luc Brun
Publsiher: Springer Science & Business Media
Total Pages: 378
Release: 2009-07-09
ISBN 10: 3642021247
ISBN 13: 9783642021244
Language: EN, FR, DE, ES & NL

Graph Based Representations in Pattern Recognition Book Review:

This book constitutes the refereed proceedings of the 7th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2009, held in Venice, Italy in May 2009. The 37 revised full papers presented were carefully reviewed and selected from 47 submissions. The papers are organized in topical sections on graph-based representation and recognition, graph matching, graph clustering and classification, pyramids, combinatorial maps, and homologies, as well as graph-based segmentation.

Progress in Pattern Recognition Image Analysis Computer Vision and Applications

Progress in Pattern Recognition  Image Analysis  Computer Vision  and Applications
Author: Marcelo Mendoza,Sergio Velastín
Publsiher: Springer
Total Pages: 730
Release: 2018-02-09
ISBN 10: 331975193X
ISBN 13: 9783319751931
Language: EN, FR, DE, ES & NL

Progress in Pattern Recognition Image Analysis Computer Vision and Applications Book Review:

This book constitutes the refereed post-conference proceedings of the 22nd Iberoamerican Congress on Pattern Recognition, CIARP 2017, held in Valparaíso, Chile, in November 2017. The 87 papers presented were carefully reviewed and selected from 156 submissions. The papers feature research results in the areas of pattern recognition, image processing, computer vision, multimedia and related fields.

Machine Learning in Action

Machine Learning in Action
Author: Peter Harrington
Publsiher: Simon and Schuster
Total Pages: 384
Release: 2012-04-03
ISBN 10: 1638352453
ISBN 13: 9781638352457
Language: EN, FR, DE, ES & NL

Machine Learning in Action Book Review:

Summary Machine Learning in Action is unique book that blends the foundational theories of machine learning with the practical realities of building tools for everyday data analysis. You'll use the flexible Python programming language to build programs that implement algorithms for data classification, forecasting, recommendations, and higher-level features like summarization and simplification. About the Book A machine is said to learn when its performance improves with experience. Learning requires algorithms and programs that capture data and ferret out the interestingor useful patterns. Once the specialized domain of analysts and mathematicians, machine learning is becoming a skill needed by many. Machine Learning in Action is a clearly written tutorial for developers. It avoids academic language and takes you straight to the techniques you'll use in your day-to-day work. Many (Python) examples present the core algorithms of statistical data processing, data analysis, and data visualization in code you can reuse. You'll understand the concepts and how they fit in with tactical tasks like classification, forecasting, recommendations, and higher-level features like summarization and simplification. Readers need no prior experience with machine learning or statistical processing. Familiarity with Python is helpful. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. What's Inside A no-nonsense introduction Examples showing common ML tasks Everyday data analysis Implementing classic algorithms like Apriori and Adaboos Table of Contents PART 1 CLASSIFICATION Machine learning basics Classifying with k-Nearest Neighbors Splitting datasets one feature at a time: decision trees Classifying with probability theory: naïve Bayes Logistic regression Support vector machines Improving classification with the AdaBoost meta algorithm PART 2 FORECASTING NUMERIC VALUES WITH REGRESSION Predicting numeric values: regression Tree-based regression PART 3 UNSUPERVISED LEARNING Grouping unlabeled items using k-means clustering Association analysis with the Apriori algorithm Efficiently finding frequent itemsets with FP-growth PART 4 ADDITIONAL TOOLS Using principal component analysis to simplify data Simplifying data with the singular value decomposition Big data and MapReduce

Handbook of Pattern Recognition and Computer Vision 5th Edition

Handbook of Pattern Recognition and Computer Vision  5th Edition
Author: Chi-hau Chen
Publsiher: World Scientific
Total Pages: 584
Release: 2015-12-15
ISBN 10: 9814656534
ISBN 13: 9789814656535
Language: EN, FR, DE, ES & NL

Handbook of Pattern Recognition and Computer Vision 5th Edition Book Review:

The book provides an up-to-date and authoritative treatment of pattern recognition and computer vision, with chapters written by leaders in the field. On the basic methods in pattern recognition and computer vision, topics range from statistical pattern recognition to array grammars to projective geometry to skeletonization, and shape and texture measures. Recognition applications include character recognition and document analysis, detection of digital mammograms, remote sensing image fusion, and analysis of functional magnetic resonance imaging data, etc.

Spontaneous Happiness

Spontaneous Happiness
Author: Andrew Weil
Publsiher: Little, Brown
Total Pages: 288
Release: 2011-11-08
ISBN 10: 0316192120
ISBN 13: 9780316192125
Language: EN, FR, DE, ES & NL

Spontaneous Happiness Book Review:

Everyone wants to be happy. But what does that really mean? Increasingly, scientific evidence shows us that true satisfaction and well-being come only from within. Dr. Andrew Weil has proven that the best way to maintain optimum physical health is to draw on both conventional and alternative medicine. Now, in Spontaneous Happiness, he gives us the foundation for attaining and sustaining optimum emotional health. Rooted in Dr. Weil's pioneering work in integrative medicine, the book suggests a reinterpretation of the notion of happiness, discusses the limitations of the biomedical model in treating depression, and elaborates on the inseparability of body and mind. Dr. Weil offers an array of scientifically proven strategies from Eastern and Western psychology to counteract low mood and enhance contentment, comfort, resilience, serenity, and emotional balance. Drawn from psychotherapy, mindfulness training, Buddhist psychology, nutritional science, and more, these strategies include body-oriented therapies to support emotional wellness, techniques for managing stress and anxiety and changing mental habits that keep us stuck in negative patterns, and advice on developing a spiritual dimension in our lives. Lastly, Dr. Weil presents an eight-week program that can be customized according to specific needs, with short- and long-term advice on nutrition, exercise, supplements, environment, lifestyle, and much more. Whether you are struggling with depression or simply want to feel happier, Dr. Weil's revolutionary approach will shift the paradigm of emotional health and help you achieve greater contentment in your life.

VipIMAGE 2019

VipIMAGE 2019
Author: João Manuel R. S. Tavares,Renato Manuel Natal Jorge
Publsiher: Springer Nature
Total Pages: 706
Release: 2019-09-27
ISBN 10: 3030320405
ISBN 13: 9783030320409
Language: EN, FR, DE, ES & NL

VipIMAGE 2019 Book Review:

This book gathers full papers presented at the VipIMAGE 2019—VII ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing—held on October 16-18, 2019, in Porto, Portugal. It discusses cutting-edge methods, findings, and applications related to 3D vision, bio- and medical imaging, computer-aided diagnosis, image enhancement, image processing and analysis, virtual reality, and also describes in detail advanced image analysis techniques, such as image segmentation and feature selection, as well as statistical and geometrical modeling. The book provides both researchers and professionals with extensive and timely insights into advanced imaging techniques for various application purposes.

Frontiers of Remote Sensing Information Processing

Frontiers of Remote Sensing Information Processing
Author: C. H. Chen
Publsiher: World Scientific
Total Pages: 628
Release: 2003
ISBN 10: 9812796754
ISBN 13: 9789812796752
Language: EN, FR, DE, ES & NL

Frontiers of Remote Sensing Information Processing Book Review:

Written by leaders in the field of remote sensing information processing, this book covers the frontiers of remote sensors, especially with effective algorithms for signal/image processing and pattern recognition with remote sensing data. Sensor and data fusion issues, SAR images, hyperspectral images, and related special topics are also examined. Techniques making use of neural networks, wavelet transforms, and knowledge-based systems are emphasized. A special set of three chapters is devoted to seismic analysis and discrimination. In summary, the book provides an authoritative treatment of major topics in remote sensing information processing and defines new frontiers for these areas. Contents: Data Mining; SAR Image Processing; Wavelet Analysis and Applications; Military Applications of Remote Sensing; Microwave Remote Sensing; Statistical Pattern Recognition; Automatic Target Segmentation; Neural Networks; Change Detection; Seismic Signal Processing; Time Series Prediction; Image Compression; Emerging Topics. Readership: Engineers and scientists dealing with remote sensing data in particular, and signals and images in general; computer scientists involved in software development on geophysical data analysis.

Proceedings of the International Conference on Data Engineering and Communication Technology

Proceedings of the International Conference on Data Engineering and Communication Technology
Author: Suresh Chandra Satapathy,Vikrant Bhateja,Amit Joshi
Publsiher: Springer
Total Pages: 841
Release: 2016-08-24
ISBN 10: 981101678X
ISBN 13: 9789811016783
Language: EN, FR, DE, ES & NL

Proceedings of the International Conference on Data Engineering and Communication Technology Book Review:

This two-volume book contains research work presented at the First International Conference on Data Engineering and Communication Technology (ICDECT) held during March 10–11, 2016 at Lavasa, Pune, Maharashtra, India. The book discusses recent research technologies and applications in the field of Computer Science, Electrical and Electronics Engineering. The aim of the Proceedings is to provide cutting-edge developments taking place in the field data engineering and communication technologies which will assist the researchers and practitioners from both academia as well as industry to advance their field of study.

Mathematical Morphology and Its Applications to Signal and Image Processing

Mathematical Morphology and Its Applications to Signal and Image Processing
Author: Jesús Angulo,Santiago Velasco-Forero,Fernand Meyer
Publsiher: Springer
Total Pages: 500
Release: 2017-04-07
ISBN 10: 3319572407
ISBN 13: 9783319572406
Language: EN, FR, DE, ES & NL

Mathematical Morphology and Its Applications to Signal and Image Processing Book Review:

This book contains the refereed proceedings of the 13th International Symposium on Mathematical Morphology, ISMM 2017, held in Fontainebleau, France, in May 2017. The 36 revised full papers presented together with 4 short papers were carefully reviewed and selected from 53 submissions. The papers are organized in topical sections on algebraic theory, max-plus and max-min mathematics; discrete geometry and discrete topology; watershed and graph-based segmentation; trees and hierarchies; topological and graph-based clustering, classification and filtering; connected operators and attribute filters; PDE-based morphology; scale-space representations and nonlinear decompositions; computational morphology; object detection; and biomedical, material science and physical applications.

Computational Vision and Medical Image Processing VipIMAGE 2011

Computational Vision and Medical Image Processing  VipIMAGE 2011
Author: João Manuel R.S. Tavares,R.M. Natal Jorge
Publsiher: CRC Press
Total Pages: 460
Release: 2011-09-28
ISBN 10: 0203128184
ISBN 13: 9780203128183
Language: EN, FR, DE, ES & NL

Computational Vision and Medical Image Processing VipIMAGE 2011 Book Review:

This book contains invited lecturers and full papers presented at VIPIMAGE 2011 - III ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing (Olh Algarve, Portugal, 12-14 October 2011). International contributions from 16 countries provide a comprehensive coverage of the current state-of-the-art in: Image Processing

Swarm Intelligence and Bio Inspired Computation

Swarm Intelligence and Bio Inspired Computation
Author: Xin-She Yang,Zhihua Cui,Renbin Xiao,Amir Hossein Gandomi,Mehmet Karamanoglu
Publsiher: Newnes
Total Pages: 450
Release: 2013-05-16
ISBN 10: 0124051774
ISBN 13: 9780124051775
Language: EN, FR, DE, ES & NL

Swarm Intelligence and Bio Inspired Computation Book Review:

Swarm Intelligence and bio-inspired computation have become increasing popular in the last two decades. Bio-inspired algorithms such as ant colony algorithms, bat algorithms, bee algorithms, firefly algorithms, cuckoo search and particle swarm optimization have been applied in almost every area of science and engineering with a dramatic increase of number of relevant publications. This book reviews the latest developments in swarm intelligence and bio-inspired computation from both the theory and application side, providing a complete resource that analyzes and discusses the latest and future trends in research directions. It can help new researchers to carry out timely research and inspire readers to develop new algorithms. With its impressive breadth and depth, this book will be useful for advanced undergraduate students, PhD students and lecturers in computer science, engineering and science as well as researchers and engineers. Focuses on the introduction and analysis of key algorithms Includes case studies for real-world applications Contains a balance of theory and applications, so readers who are interested in either algorithm or applications will all benefit from this timely book.

Progress in Pattern Recognition Image Analysis Computer Vision and Applications

Progress in Pattern Recognition  Image Analysis  Computer Vision  and Applications
Author: César Beltrán-Castañón,Ingela Nyström,Fazel Famili
Publsiher: Springer
Total Pages: 541
Release: 2017-02-14
ISBN 10: 3319522779
ISBN 13: 9783319522777
Language: EN, FR, DE, ES & NL

Progress in Pattern Recognition Image Analysis Computer Vision and Applications Book Review:

This book constitutes the refereed post-conference proceedings of the 21st Iberoamerican Congress on Pattern Recognition, CIARP 2016, held in Lima, Peru, in November 2016. The 69 papers presented were carefully reviewed and selected from 131 submissions. The papers feature research results in the areas of pattern recognition, biometrics, image processing, computer vision, speech recognition, and remote sensing. They constitute theoretical as well as applied contributions in many fields related to the main topics of the conference.

Image Analysis and Processing ICIAP 2009

Image Analysis and Processing    ICIAP 2009
Author: Pasquale Foggia,Carlo Sansone,Mario Vento
Publsiher: Springer
Total Pages: 1056
Release: 2009-08-29
ISBN 10: 3642041469
ISBN 13: 9783642041464
Language: EN, FR, DE, ES & NL

Image Analysis and Processing ICIAP 2009 Book Review:

This book constitutes the refereed proceedings of the 15th International Conference on Image Analysis and Processing, ICIAP 2009, held in Vietri sul Mare, Italy, in September 2009. The 107 revised full papers presented together with 3 invited papers were carefully reviewed and selected from 168 submissions. The papers are organized in topical sections on computer graphics and image processing, low and middle level processing, 2D and 3D segmentation, feature extraction and image analysis, object detection and recognition, video analysis and processing, pattern analysis and classification, learning, graphs and trees, applications, shape analysis, face analysis, medical imaging, and image analysis and pattern recognition.

Advances in Visual Computing

Advances in Visual Computing
Author: George Bebis,Richard Boyle,James Klosowski,Fatih Porikli,Darko Koracin,Bahram Parvin,Jörg Peters,Laura Arns,Theresa-Marie Rhyne,Yu Ka Chun,Laura Monroe
Publsiher: Springer Science & Business Media
Total Pages: 1173
Release: 2008-11-13
ISBN 10: 3540896384
ISBN 13: 9783540896388
Language: EN, FR, DE, ES & NL

Advances in Visual Computing Book Review:

The two volume set LNCS 5358 and LNCS 5359 constitutes the refereed proceedings of the 4th International Symposium on Visual Computing, ISVC 2008, held in Las Vegas, NV, USA, in December 2008. The 102 revised full papers and 70 poster papers presented together with 56 full and 8 poster papers of 8 special tracks were carefully reviewed and selected from more than 340 submissions. The papers are organized in topical sections on computer graphics, visualization, shape/recognition, video analysis and event recognition, virtual reality, reconstruction, motion, face/gesture, and computer vision applications. The 8 additional special tracks address issues such as object recognition, real-time vision algorithm implementation and application, computational bioimaging and visualization, discrete and computational geometry, soft computing in image processing and computer vision, visualization and simulation on immersive display devices, analysis and visualization of biomedical visual data, as well as image analysis for remote sensing data.

Hands On Machine Learning with R

Hands On Machine Learning with R
Author: Brad Boehmke,Brandon M. Greenwell
Publsiher: CRC Press
Total Pages: 456
Release: 2019-11-07
ISBN 10: 1000730190
ISBN 13: 9781000730197
Language: EN, FR, DE, ES & NL

Hands On Machine Learning with R Book Review:

Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today’s most popular machine learning methods. This book serves as a practitioner’s guide to the machine learning process and is meant to help the reader learn to apply the machine learning stack within R, which includes using various R packages such as glmnet, h2o, ranger, xgboost, keras, and others to effectively model and gain insight from their data. The book favors a hands-on approach, providing an intuitive understanding of machine learning concepts through concrete examples and just a little bit of theory. Throughout this book, the reader will be exposed to the entire machine learning process including feature engineering, resampling, hyperparameter tuning, model evaluation, and interpretation. The reader will be exposed to powerful algorithms such as regularized regression, random forests, gradient boosting machines, deep learning, generalized low rank models, and more! By favoring a hands-on approach and using real word data, the reader will gain an intuitive understanding of the architectures and engines that drive these algorithms and packages, understand when and how to tune the various hyperparameters, and be able to interpret model results. By the end of this book, the reader should have a firm grasp of R’s machine learning stack and be able to implement a systematic approach for producing high quality modeling results. Features: · Offers a practical and applied introduction to the most popular machine learning methods. · Topics covered include feature engineering, resampling, deep learning and more. · Uses a hands-on approach and real world data.

Cuckoo Search and Firefly Algorithm

Cuckoo Search and Firefly Algorithm
Author: Xin-She Yang
Publsiher: Springer
Total Pages: 360
Release: 2013-10-31
ISBN 10: 3319021419
ISBN 13: 9783319021416
Language: EN, FR, DE, ES & NL

Cuckoo Search and Firefly Algorithm Book Review:

Nature-inspired algorithms such as cuckoo search and firefly algorithm have become popular and widely used in recent years in many applications. These algorithms are flexible, efficient and easy to implement. New progress has been made in the last few years, and it is timely to summarize the latest developments of cuckoo search and firefly algorithm and their diverse applications. This book will review both theoretical studies and applications with detailed algorithm analysis, implementation and case studies so that readers can benefit most from this book. Application topics are contributed by many leading experts in the field. Topics include cuckoo search, firefly algorithm, algorithm analysis, feature selection, image processing, travelling salesman problem, neural network, GPU optimization, scheduling, queuing, multi-objective manufacturing optimization, semantic web service, shape optimization, and others. This book can serve as an ideal reference for both graduates and researchers in computer science, evolutionary computing, machine learning, computational intelligence, and optimization, as well as engineers in business intelligence, knowledge management and information technology.

Advances in Artificial Intelligence IBERAMIA 2018

Advances in Artificial Intelligence   IBERAMIA 2018
Author: Guillermo R. Simari,Eduardo Fermé,Flabio Gutiérrez Segura,José Antonio Rodríguez Melquiades
Publsiher: Springer
Total Pages: 520
Release: 2018-11-08
ISBN 10: 3030039285
ISBN 13: 9783030039288
Language: EN, FR, DE, ES & NL

Advances in Artificial Intelligence IBERAMIA 2018 Book Review:

This book constitutes the refereed proceedings of the 16th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2018, held in Trujillo, Peru,in November 2018. The 41 papers presented were carefully reviewed and selected from 92 submissions. The papers are organized in the following topical sections: Knowledge Engineering, Knowledge Representation and Reasoning under Uncertainty., Multiagent Systems., Game Theory and Economic Paradigms, Game Playing and Interactive Entertainment, Ambient Intelligence, Machine Learning Methods, Cognitive Modeling,General AI, Knowledge Engineering, Computational Sustainability and AI, Heuristic Search and Optimization and much more.

Progress in Pattern Recognition Image Analysis Computer Vision and Applications

Progress in Pattern Recognition  Image Analysis  Computer Vision  and Applications
Author: Isabelle Bloch,Roberto M. Cesar, Jr.
Publsiher: Springer
Total Pages: 571
Release: 2010-11-02
ISBN 10: 3642166873
ISBN 13: 9783642166877
Language: EN, FR, DE, ES & NL

Progress in Pattern Recognition Image Analysis Computer Vision and Applications Book Review:

Pattern recognition is a central topic in contemporary computer sciences, with continuously evolving topics, challenges, and methods, including machine learning, content-based image retrieval, and model- and knowledge-based - proaches, just to name a few. The Iberoamerican Congress on Pattern Recog- tion (CIARP) has become established as a high-quality conference, highlighting the recent evolution of the domain. These proceedings include all papers presented during the 15th edition of this conference, held in Sao Paulo, Brazil, in November 2010. As was the case for previous conferences, CIARP 2010 attracted parti- pants from around the world with the aim of promoting and disseminating - going research on mathematical methods and computing techniques for pattern recognition, computer vision, image analysis, and speech recognition, as well as their applications in such diverse areas as robotics, health, entertainment, space exploration, telecommunications, data mining, document analysis, and natural language processing and recognition, to name only a few of them. Moreover, it provided a forum for scienti?c research, experience exchange, sharing new kno- edge and increasing cooperation between research groups in pattern recognition and related areas. It is important to underline that these conferences have contributed sign- icantly to the growth of national associations for pattern recognition in the Iberoamerican region, all of them as members of the International Association for Pattern Recognition (IAPR).

Graph Algorithms

Graph Algorithms
Author: Mark Needham,Amy E. Hodler
Publsiher: "O'Reilly Media, Inc."
Total Pages: 268
Release: 2019-05-16
ISBN 10: 1492047635
ISBN 13: 9781492047636
Language: EN, FR, DE, ES & NL

Graph Algorithms Book Review:

Discover how graph algorithms can help you leverage the relationships within your data to develop more intelligent solutions and enhance your machine learning models. You’ll learn how graph analytics are uniquely suited to unfold complex structures and reveal difficult-to-find patterns lurking in your data. Whether you are trying to build dynamic network models or forecast real-world behavior, this book illustrates how graph algorithms deliver value—from finding vulnerabilities and bottlenecks to detecting communities and improving machine learning predictions. This practical book walks you through hands-on examples of how to use graph algorithms in Apache Spark and Neo4j—two of the most common choices for graph analytics. Also included: sample code and tips for over 20 practical graph algorithms that cover optimal pathfinding, importance through centrality, and community detection. Learn how graph analytics vary from conventional statistical analysis Understand how classic graph algorithms work, and how they are applied Get guidance on which algorithms to use for different types of questions Explore algorithm examples with working code and sample datasets from Spark and Neo4j See how connected feature extraction can increase machine learning accuracy and precision Walk through creating an ML workflow for link prediction combining Neo4j and Spark