The Deeptracker's Guide

The Deeptracker's Guide
Author: H. G. Potter
Publisher: Lulu.com
Total Pages: 190
Release: 2018-11-23
Genre: Fiction
ISBN: 0359246257

Centuries ago, at the close of the last age, a 900 year old gnome catalogued the various trials, perils, and creatures encountered in the vast hollow earth, thereby providing a handbook to aid humans on their own expeditions for lost knowledge. The Enchiridion de Rebus Subterraneis was masterfully translated into English word for word by the famous archivist Thanato Excorpus and titled "The Deeptracker's Guide to Thaumaturgy and Netherbeasts." Imported from the shores of Whitehawk six centuries ago, no other translations exist. The London fire of 1666 consumed the only manuscript known of the original Latin. The gnome treats on the various environments of the intermudane caverns and subterraneous worlds, providing eyewitness testimony, ancient manuscripts, Church-like admonitions, and rebuke against unbelievers. Includes many "short story" pieces of the gnome's encounters as well.

The Fall of Nystol and Other Tales

The Fall of Nystol and Other Tales
Author: H. G. Potter
Publisher: Lulu.com
Total Pages: 430
Release: 2020-03-28
Genre: Fiction
ISBN: 1732549923

Six epic stories from the lands of Whitehawk: THE NOMADS OF SARDU: a monk dares travel across forbidden lands to obtain a forbidden book...but will he dare to read it? 2) THE DEMON PROOF: a retired philosopher receives an unexpected guest, one who is being hunted by the mind of darkness...3) DIALOGUE WITH A STRANGER: two would-be-hell-raiders get themselves involved in a secret society that is far deeper than they can fathom...4) THE TOWER WYRDD: a company of soldiers is led by a mad dwarf into the underworld with the promise of sacking Nystol, the wizardic academy of many towers...5) THE LAST DAYS OF THE MAGI: a condemned prisoner recounts how the most powerful academy of magic was compromised and finally betrayed by insane ideologies. 6) THE FALL OF NYSTOL: an eyewitness account of the barbarian sack of Nystol...

Visualization of Time-Oriented Data

Visualization of Time-Oriented Data
Author: Wolfgang Aigner
Publisher: Springer Science & Business Media
Total Pages: 297
Release: 2011-05-30
Genre: Computers
ISBN: 0857290797

Time is an exceptional dimension that is common to many application domains such as medicine, engineering, business, or science. Due to the distinct characteristics of time, appropriate visual and analytical methods are required to explore and analyze them. This book starts with an introduction to visualization and historical examples of visual representations. At its core, the book presents and discusses a systematic view of the visualization of time-oriented data along three key questions: what is being visualized (data), why something is visualized (user tasks), and how it is presented (visual representation). To support visual exploration, interaction techniques and analytical methods are required that are discussed in separate chapters. A large part of this book is devoted to a structured survey of 101 different visualization techniques as a reference for scientists conducting related research as well as for practitioners seeking information on how their time-oriented data can best be visualized.

Online Visual Tracking

Online Visual Tracking
Author: Huchuan Lu
Publisher: Springer
Total Pages: 128
Release: 2019-08-09
Genre: Computers
ISBN: 9789811304682

This book presents the state of the art in online visual tracking, including the motivations, practical algorithms, and experimental evaluations. Visual tracking remains a highly active area of research in Computer Vision and the performance under complex scenarios has substantially improved, driven by the high demand in connection with real-world applications and the recent advances in machine learning. A large variety of new algorithms have been proposed in the literature over the last two decades, with mixed success. Chapters 1 to 6 introduce readers to tracking methods based on online learning algorithms, including sparse representation, dictionary learning, hashing codes, local model, and model fusion. In Chapter 7, visual tracking is formulated as a foreground/background segmentation problem, and tracking methods based on superpixels and end-to-end deep networks are presented. In turn, Chapters 8 and 9 introduce the cutting-edge tracking methods based on correlation filter and deep learning. Chapter 10 summarizes the book and points out potential future research directions for visual tracking. The book is self-contained and suited for all researchers, professionals and postgraduate students working in the fields of computer vision, pattern recognition, and machine learning. It will help these readers grasp the insights provided by cutting-edge research, and benefit from the practical techniques available for designing effective visual tracking algorithms. Further, the source codes or results of most algorithms in the book are provided at an accompanying website.

Federated Learning

Federated Learning
Author: Qiang Yang
Publisher: Springer Nature
Total Pages: 291
Release: 2020-11-25
Genre: Computers
ISBN: 3030630765

This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications. Privacy and incentive issues are the focus of this book. It is timely as federated learning is becoming popular after the release of the General Data Protection Regulation (GDPR). Since federated learning aims to enable a machine model to be collaboratively trained without each party exposing private data to others. This setting adheres to regulatory requirements of data privacy protection such as GDPR. This book contains three main parts. Firstly, it introduces different privacy-preserving methods for protecting a federated learning model against different types of attacks such as data leakage and/or data poisoning. Secondly, the book presents incentive mechanisms which aim to encourage individuals to participate in the federated learning ecosystems. Last but not least, this book also describes how federated learning can be applied in industry and business to address data silo and privacy-preserving problems. The book is intended for readers from both the academia and the industry, who would like to learn about federated learning, practice its implementation, and apply it in their own business. Readers are expected to have some basic understanding of linear algebra, calculus, and neural network. Additionally, domain knowledge in FinTech and marketing would be helpful.”

Adaptive Instructional Systems

Adaptive Instructional Systems
Author: Robert A. Sottilare
Publisher: Springer
Total Pages: 672
Release: 2019-07-10
Genre: Computers
ISBN: 3030223418

This book constitutes the refereed proceedings of the First International Conference on Adaptive Instructional Systems, AIS 2019, held in July 2019 as part of HCI International 2019 in Orlando, FL, USA. HCII 2019 received a total of 5029 submissions, of which 1275 papers and 209 posters were accepted for publication after a careful reviewing process. The 50 papers presented in this volume are organized in topical sections named: Adaptive Instruction Design and Authoring, Interoperability and Standardization in Adaptive Instructional Systems, Instructional Theories in Adaptive Instruction, Learner Assessment and Modelling, AI in Adaptive Instructional Systems, Conversational Tutors.

Deep Learning in Object Detection and Recognition

Deep Learning in Object Detection and Recognition
Author: Xiaoyue Jiang
Publisher: Springer
Total Pages: 0
Release: 2020-11-27
Genre: Computers
ISBN: 9789811506512

This book discusses recent advances in object detection and recognition using deep learning methods, which have achieved great success in the field of computer vision and image processing. It provides a systematic and methodical overview of the latest developments in deep learning theory and its applications to computer vision, illustrating them using key topics, including object detection, face analysis, 3D object recognition, and image retrieval. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in deep learning, computer vision and beyond and can also be used as a reference book. The comprehensive comparison of various deep-learning applications helps readers with a basic understanding of machine learning and calculus grasp the theories and inspires applications in other computer vision tasks.

Computer Vision – ECCV 2018

Computer Vision – ECCV 2018
Author: Vittorio Ferrari
Publisher: Springer
Total Pages: 880
Release: 2018-10-05
Genre: Computers
ISBN: 3030012492

The sixteen-volume set comprising the LNCS volumes 11205-11220 constitutes the refereed proceedings of the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018.The 776 revised papers presented were carefully reviewed and selected from 2439 submissions. The papers are organized in topical sections on learning for vision; computational photography; human analysis; human sensing; stereo and reconstruction; optimization; matching and recognition; video attention; and poster sessions.

Multivariate Network Visualization

Multivariate Network Visualization
Author: Andreas Kerren
Publisher: Springer
Total Pages: 244
Release: 2014-04-15
Genre: Computers
ISBN: 3319067931

This book is the outcome of the Dagstuhl Seminar 13201 on Information Visualization - Towards Multivariate Network Visualization, held in Dagstuhl Castle, Germany in May 2013. The goal of this Dagstuhl Seminar was to bring together theoreticians and practitioners from Information Visualization, HCI and Graph Drawing with a special focus on multivariate network visualization, i.e., on graphs where the nodes and/or edges have additional (multidimensional) attributes. The integration of multivariate data into complex networks and their visual analysis is one of the big challenges not only in visualization, but also in many application areas. Thus, in order to support discussions related to the visualization of real world data, also invited researchers from selected application areas, especially bioinformatics, social sciences and software engineering. The unique "Dagstuhl climate" ensured an open and undisturbed atmosphere to discuss the state-of-the-art, new directions and open challenges of multivariate network visualization.

Volume 16: How to Detect and Handle Outliers

Volume 16: How to Detect and Handle Outliers
Author: Boris Iglewicz
Publisher: Quality Press
Total Pages: 99
Release: 1993-01-08
Genre: Business & Economics
ISBN: 0873892607

Outliers are the key focus of this book. The authors concentrate on the practical aspects of dealing with outliers in the forms of data that arise most often in applications: single and multiple samples, linear regression, and factorial experiments. Available only as an E-Book.