Move up the Kaggle leaderboards and supercharge your data science and machine learning career by analyzing famous competitions and working through exercises. Purchase of the print or Kindle book inc……続きを見る
著者:Nikola K. Kasabov
出版社: Springer Berlin Heidelberg
発売日: 2018年10月03日
Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory ……続きを見る
Many important planning decisions in society and business depend on proper knowledge and a correct understanding of movement, be it in transportation, logistics, biology, or the life sciences. Today……続きを見る
The amount of data medical databases doubles every 20 months, and physicians are at a loss to analyze them. Also, traditional data analysis has difficulty to identify outliers and patterns in big da……続きを見る
This SpringerBrief presents the fundamentals of driver drowsiness detection systems, provides examples of existing products, and offers guides for practitioners interested in developing their own so……続きを見る
Dieses Buch gibt einen strukturierten Überblick zu den verschiedenen Standards und Spezifikationen der Medienproduktion für Print, Web und Mobile Devices.
Nach einer soliden Einführung in die Grundl……続きを見る
This book introduces the optical multi-band polarization imaging theory and the utilization of the multi-band polarimetric information for detecting the camouflage object and the optical hidden mark……続きを見る
In diesem essential zum Verbundprojekt ARVIDA wird von den Autoren die zunehmende Bedeutung der Virtuellen Techniken (VT) in der industriellen Produktentwicklung und Produktionsplanung prägnant und ……続きを見る
This book presents a thorough analysis of gestural data extracted from raw images and/or range data with an aim to recognize the gestures conveyed by the data. It covers image morphological analysis……続きを見る
Machine learning is concerned with the analysis of large data and multiple variables. However, it is also often more sensitive than traditional statistical methods to analyze small data. The first v……続きを見る
Machine learning is concerned with the analysis of large data and multiple variables. It is also often more sensitive than traditional statistical methods to analyze small data. The first and second……続きを見る
Augmented (AR) and Virtual Reality (VR) technologies are increasingly being used in manufacturing processes. These use real and simulated objects to create a simulated environment that can be used t……続きを見る
“Adaptive Digital Filters” presents an important discipline applied to the domain of speech processing. The book first makes the reader acquainted with the basic terms of filtering and adaptive filt……続きを見る
This book presents group recommender systems, which focus on the determination of recommendations for groups of users. The authors summarize different technologies and applications of group recommen……続きを見る
New image-processing tools and data-processing network systems have considerably increased the volume of transmitted information such as 2D and 3D images with high resolution. Thus, more complex net……続きを見る
Nowadays, many aspects of electrical and electronic engineering are essentially applications of DSP. This is due to the focus on processing information in the form of digital signals, using certain ……続きを見る
This book presents an approach to postmortem human identification using dental image processing based on dental features and characteristics, and provides information on various identification syste……続きを見る
Instead of focusing on the mathematical properties of moments, this book is a compendium of research that demonstrates the effectiveness of orthogonal moment-based features in face recognition, expr……続きを見る
This Springerbrief presents an overview of problems and technologies behind segmentation and separation of overlapped latent fingerprints, which are two fundamental steps in the context of fingerpri……続きを見る
This book provides various speech enhancement algorithms for digital hearing aids. It covers information on noise signals extracted from silences of speech signal. The description of the algorithm u……続きを見る
This book shows how machine learning can detect moving objects in a digital video stream. The authors present different background subtraction approaches, foreground segmentation, and object trackin……続きを見る
This book provides the basic know-how and guidance to effectively exploit non-destructive geophysical technologies and apply them in the underground mining environment to optimise mineral extraction……続きを見る
著者:Niko Sünderhauf
出版社: Springer International Publishing
発売日: 2023年05月09日
Simultaneous Localization and Mapping (SLAM) has been a long-standing research problem in robotics. It describes the problem of a robot mapping an unknown environment, while simultaneously localizin……続きを見る
This comprehensive and richly illustrated volume provides up-to-date material on Singular Spectrum Analysis (SSA). SSA is a well-known methodology for the analysis and forecasting of time series. Si……続きを見る
The amount of data in medical databases doubles every 20 months, and physicians are at a loss to analyze them. Also, traditional methods of data analysis have difficulty to identify outliers and pat……続きを見る
The area of content-based video retrieval is a very hot area both for research and for commercial applications. In order to design effective video databases for applications such as digital librarie……続きを見る
This work presents lines of investigation and scientific achievements of the Ukrainian school of optimization theory and adjacent disciplines. These include the development of approaches to mathemat……続きを見る
Line drawing interpretation is a challenging area with enormous practical potential. At present, many companies throughout the world invest large amounts of money and human resource in the input of ……続きを見る
A unique point of this book is its low threshold, textually simple and at the same time full of self-assessment opportunities. Other unique points are the succinctness of the chapters with 3 to 6 pa……続きを見る
著者:Andrey V. Savchenko
出版社: Springer International Publishing
発売日: 2016年05月23日
A unified methodology for categorizing various complex objects is presented in this book. Through probability theory, novel asymptotically minimax criteria suitable for practical applications in ima……続きを見る