Image Texture Analysis: Foundations, Models and Algorithms (Hung Chih-Cheng)(Pevná vazba)

Image Texture Analysis: Foundations, Models and Algorithms (Hung Chih-Cheng)(Pevná vazba)

Part I: Existing Models and Algorithms for Image Texture Image Texture, Texture Features, and Image Texture Classification and Segmentation Texture Features and Image Texture Models Algorithms for Image Texture Classification Dimensionality Reduction and Sparse Representation Part II: The K-Views

Beyond the Worst-Case Analysis of Algorithms (Roughgarden Tim)(Pevná vazba)

Understanding when and why algorithms work is a fundamental challenge. For problems ranging from clustering to linear programming to neural networks there are significant gaps between empirical performance and prediction based on traditional worst-case analysis. The book introduces exciting new

Orienteering Problems: Models and Algorithms for Vehicle Routing Problems with Profits (Vansteenwegen Pieter)(Pevná vazba)

Introduction.- Definitions and Mathematical Models of Single Vehicle Routing.- Definitions and Mathematical Models of OP Variants.- State-of-the-Art Solution Techniques for PTP and PCTSP.- State-of-the-Art Solution Techniques for OP and TOP.- State-of-the-Art Solution Techniques for OPTW and

Elements of Causal Inference: Foundations and Learning Algorithms (Peters Jonas)(Pevná vazba)

A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning.The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a

Introduction to Digital Economics: Foundations, Business Models and Case Studies (Verby Harald)(Pevná vazba)

Innovations and developments in technology have laid the foundations for an economy based on digital goods and services--the digital economy. This book invites students and practitioners, to take an in-depth look at the impact that technological innovations such as social media, cryptocurrencies,

Algorithmic and High-Frequency Trading (Cartea lvaro)(Pevná vazba)

The design of trading algorithms requires sophisticated mathematical models backed up by reliable data. In this textbook, the authors develop models for algorithmic trading in contexts such as executing large orders, market making, targeting VWAP and other schedules, trading pairs or collection of

Outlier Analysis (Aggarwal Charu C.)(Pevná vazba)

Provides all the fundamental algorithms for outlier analysis in great detail including those for advanced data types, including specific insights into when and why particular algorithms work effectivelyDiscusses the latest ideas in the field such as outlier ensembles, matrix factorization, kernel

Radiographic Image Analysis (McQuillen Martensen Kathy)(Pevná vazba)

Learn to produce quality radiographs on the first try with Radiographic Image Analysis, 5th Edition. This updated, user-friendly text reflects the latest ARRT guidelines and revamped chapters to reflect the latest digital technology. Chapters walk you through the steps of how to carefully evaluate

Machine Learning Refined: Foundations, Algorithms, and Applications (Watt Jeremy)(Pevná vazba)

With its intuitive yet rigorous approach to machine learning, this text provides students with the fundamental knowledge and practical tools needed to conduct research and build data-driven products. The authors prioritize geometric intuition and algorithmic thinking, and include detail on all the

Bayesian Evolutionary Analysis with Beast (Drummond Alexei J.)(Pevná vazba)

What are the models used in phylogenetic analysis and what exactly is involved in Bayesian evolutionary analysis using Markov chain Monte Carlo (MCMC) methods? How can you choose and apply these models, which parameterisations and priors make sense, and how can you diagnose Bayesian MCMC when

Optimization Models (Calafiore Giuseppe C.)(Pevná vazba)

Emphasizing practical understanding over the technicalities of specific algorithms, this elegant textbook is an accessible introduction to the field of optimization, focusing on powerful and reliable convex optimization techniques. Students and practitioners will learn how to recognize, simplify,

Quantitative Intelligence Analysis: Applied Analytic Models, Simulations, and Games (Waltz Edward)(Pevná vazba)

The text explains the model-based method of intelligence analysis that represents the analyst's mental models of a subject as well as the analyst's reasoning process. It includes dynamic simulations and interactive analytic games, case studies that illustrate a wide range of intelligence problems,

Foundations of Machine Learning, Second Edition (Mohri Mehryar)(Pevná vazba)

A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms.This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics in

Applied Regression Analysis and Generalized Linear Models (Fox John)(Pevná vazba)

Combining a modern, data-analytic perspective with a focus on applications in the social sciences, the Third Edition of Applied Regression Analysis and Generalized Linear Models provides in-depth coverage of regression analysis, generalized linear models, and closely related methods, such as

Hung Liu: Portraits of Promised Lands (Moss Dorothy)(Pevná vazba)

A major survey of contemporary artist Hung Liu, whose layered portraits explore history and memory through the stories of marginalized figures Hung Liu: Portraits of Promised Lands presents the stunning work of this contemporary Chinese American artist. Liu (1948-2021) blends painting and

Mathematics of Big Data: Spreadsheets, Databases, Matrices, and Graphs (Kepner Jeremy)(Pevná vazba)

The first book to present the common mathematical foundations of big data analysis across a range of applications and technologies.Today, the volume, velocity, and variety of data are increasing rapidly across a range of fields, including Internet search, healthcare, finance, social media, wireless

Scotland: The New State of an Old Nation (Leith Murray Stewart)(Pevná vazba)

An academic analysis of the foundations and structures of modern-day Scotland that provides insight into Scottish politics, society and

Craig McDean: Manual (McDean Craig)(Pevná vazba)

The worlds of high-fashion models and car racing collide in this high-octane collection of images from one of the fashion world's most celebrated photographers. Before he was one of the fashion world's most revered and sought-after photographers, Craig McDean trained and worked as a car mechanic in

Molly and the Mathematical Mystery (Cheng Eugenia)(Pevná vazba)

Find the clues and lift the flaps on this mathematical

Foundations of Astrophysics (Ryden Barbara)(Pevná vazba)

Foundations of Astrophysics provides a contemporary and complete introduction to astrophysics for astronomy and physics majors. With a logical presentation and conceptual and quantitative end-of-chapter problems, the material is accessible to introductory astrophysics students taking a two-semester

Systems Analysis and Design (Tilley Scott)(Pevná vazba)

Microeconomic Foundations I: Choice and Competitive Markets (Kreps David M.)(Pevná vazba)

A guide to mastering microeconomic theory Microeconomic Foundations I develops the choice, price, and general equilibrium theory topics typically found in first-year theory sequences, but in deeper and more complete mathematical form than most standard texts provide. The objective is to take the

Data Mining and Machine Learning: Fundamental Concepts and Algorithms (Zaki Mohammed J.)(Pevná vazba)

The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and

Principles of Analysis: Measure, Integration, Functional Analysis, and Applications (Junghenn Hugo D.)(Pevná vazba)

Principles of Analysis: Measure, Integration, Functional Analysis, and Applications prepares readers taking advanced courses in analysis, probability, harmonic analysis, and applied mathematics at the doctoral level. It is also designed so that the reader or instructor may select topics suitable to