Pattern Recognition For Feature Based And Comparative Visualization
Download Pattern Recognition For Feature Based And Comparative Visualization full books in PDF, epub, and Kindle. Read online free Pattern Recognition For Feature Based And Comparative Visualization ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author | : Michael Schlemmer |
Publisher | : Sudwestdeutscher Verlag Fur Hochschulschriften AG |
Total Pages | : 180 |
Release | : 2011 |
Genre | : |
ISBN | : 9783838127576 |
Pattern Recognition is widely spread as a basis for classification purposes. However, the common pattern recognition and classification methods are usually used on non-spatially-correlated data. For example, moment invariants are a very basic and popular tool for this purpose. Such methods cannot be easily applied on flow data, like wind streams and water flows, magma flows, blood flows for medical purposes, air flow simulations for the design of cars and airplanes. For this reason, this book explains how classic moment invariants have been transformed to facilitate pattern recognition on flow data. The properties of the "Flow Moment Invariants" are analyzed and used to perform Feature-based and Comparative Visualization of flow data.
Author | : Thomas Schultz |
Publisher | : Springer |
Total Pages | : 406 |
Release | : 2017-10-14 |
Genre | : Mathematics |
ISBN | : 3319613588 |
This book focuses on the modeling, processing and visualization of anisotropy, irrespective of the context in which it emerges, using state-of-the-art mathematical tools. As such, it differs substantially from conventional reference works, which are centered on a particular application. It covers the following topics: (i) the geometric structure of tensors, (ii) statistical methods for tensor field processing, (iii) challenges in mapping neural connectivity and structural mechanics, (iv) processing of uncertainty, and (v) visualizing higher-order representations. In addition to original research contributions, it provides insightful reviews. This multidisciplinary book is the sixth in a series that aims to foster scientific exchange between communities employing tensors and other higher-order representations of directionally dependent data. A significant number of the chapters were co-authored by the participants of the workshop titled Multidisciplinary Approaches to Multivalued Data: Modeling, Visualization, Analysis, which was held in Dagstuhl, Germany in April 2016. It offers a valuable resource for those working in the field of multi-directional data, vital inspirations for the development of new models, and essential analysis and visualization techniques, thus furthering the state-of-the-art in studies involving anisotropy.
Author | : Eileen C. Schwab |
Publisher | : Elsevier |
Total Pages | : 260 |
Release | : 2013-09-11 |
Genre | : Reference |
ISBN | : 1483259617 |
Pattern Recognition by Humans and Machines, Volume 2: Visual Perception provides information pertinent to the fundamental aspects of research on perception. This book focuses on several fundamental problems of pattern recognition in speech perception and visual form perception. Organized into seven chapters, this volume begins with an overview of some of the basic theoretical questions in speech perception. This text then explores the spatiotemporal orchestration of visuosensory attentional and oculomotor processes involved in active visual exploration. Other chapters consider several basic questions concerning visual form perception, including the perception of patterns and features. This book discusses as well the role of eye movements in pattern processing and models of segmentation and pattern recognition. The final chapter describes the distinctions made in perceptual processing between model-driven and data-driven processing. This book is a valuable resource for psychologists in general and specialists in the field of perception. Computer and cognitive scientists will also find this book useful.
Author | : Mohamed Kamel |
Publisher | : Springer Science & Business Media |
Total Pages | : 977 |
Release | : 2009-07-07 |
Genre | : Computers |
ISBN | : 3642026117 |
This book constitutes the refereed proceedings of the 6th International Conference on Image Analysis and Recognition, ICIAR 2009, held in Halifax, Canada, in July 2009. The 93 revised full papers presented were carefully reviewed and selected from 164 submissions. The papers are organized in topical sections on image and video processing and analysis; image segmentation; image and video retrieval and indexing; pattern analysis and recognition; biometrics face recognition; shape analysis; motion analysis and tracking; 3D image analysis; biomedical image analysis; document analysis and applications.
Author | : Huimin Lu |
Publisher | : Springer Nature |
Total Pages | : 415 |
Release | : 2023-12-06 |
Genre | : Computers |
ISBN | : 3031476654 |
This three-volume set LNCS 14406-14408 constitutes the refereed proceedings of the 7th Asian Conference on Pattern Recognition, ACPR 2023, held in Kitakyushu, Japan, in November 2023. The 93 full papers presented were carefully reviewed and selected from 164 submissions. The conference focuses on four important areas of pattern recognition: pattern recognition and machine learning, computer vision and robot vision, signal processing, and media processing and interaction, covering various technical aspects.
Author | : Lars Linsen |
Publisher | : Springer |
Total Pages | : 350 |
Release | : 2016-05-21 |
Genre | : Mathematics |
ISBN | : 3319245236 |
The book discusses novel visualization techniques driven by the needs in medicine and life sciences as well as new application areas and challenges for visualization within these fields. It presents ideas and concepts for visual analysis of data from scientific studies of living organs or to the delivery of healthcare. Target scientific domains include the entire field of biology at all scales - from genes and proteins to organs and populations - as well as interdisciplinary research based on technological advances such as bioinformatics, biomedicine, biochemistry, or biophysics. Moreover, they comprise the field of medicine and the application of science and technology to healthcare problems. This book does not only present basic research pushing the state of the art in the field of visualization, but it also documents the impact in the fields of medicine and life sciences.
Author | : Petra Perner |
Publisher | : Springer Science & Business Media |
Total Pages | : 452 |
Release | : 2003-06-25 |
Genre | : Computers |
ISBN | : 3540405046 |
TheInternationalConferenceonMachineLearningandDataMining(MLDM)is the third meeting in a series of biennial events, which started in 1999, organized by the Institute of Computer Vision and Applied Computer Sciences (IBaI) in Leipzig. MLDM began as a workshop and is now a conference, and has brought the topic of machine learning and data mining to the attention of the research community. Seventy-?ve papers were submitted to the conference this year. The program committeeworkedhardtoselectthemostprogressiveresearchinafairandc- petent review process which led to the acceptance of 33 papers for presentation at the conference. The 33 papers in these proceedings cover a wide variety of topics related to machine learning and data mining. The two invited talks deal with learning in case-based reasoning and with mining for structural data. The contributed papers can be grouped into nine areas: support vector machines; pattern dis- very; decision trees; clustering; classi?cation and retrieval; case-based reasoning; Bayesian models and methods; association rules; and applications. We would like to express our appreciation to the reviewers for their precise andhighlyprofessionalwork.WearegratefultotheGermanScienceFoundation for its support of the Eastern European researchers. We appreciate the help and understanding of the editorial sta? at Springer Verlag, and in particular Alfred Hofmann,whosupportedthepublicationoftheseproceedingsintheLNAIseries. Last, but not least, we wish to thank all the speakers and participants who contributed to the success of the conference.
Author | : P. C. Dodwell |
Publisher | : |
Total Pages | : 276 |
Release | : 1970 |
Genre | : Pattern perception |
ISBN | : |
Author | : Alberto Del Bimbo |
Publisher | : Springer Nature |
Total Pages | : 767 |
Release | : 2021-02-20 |
Genre | : Computers |
ISBN | : 3030687961 |
This 8-volumes set constitutes the refereed of the 25th International Conference on Pattern Recognition Workshops, ICPR 2020, held virtually in Milan, Italy and rescheduled to January 10 - 11, 2021 due to Covid-19 pandemic. The 416 full papers presented in these 8 volumes were carefully reviewed and selected from about 700 submissions. The 46 workshops cover a wide range of areas including machine learning, pattern analysis, healthcare, human behavior, environment, surveillance, forensics and biometrics, robotics and egovision, cultural heritage and document analysis, retrieval, and women at ICPR2020.
Author | : Evangelia Miche Tzanakou |
Publisher | : CRC Press |
Total Pages | : 392 |
Release | : 2017-12-19 |
Genre | : Technology & Engineering |
ISBN | : 1420049771 |
There are many books on neural networks, some of which cover computational intelligence, but none that incorporate both feature extraction and computational intelligence, as Supervised and Unsupervised Pattern Recognition does. This volume describes the application of a novel, unsupervised pattern recognition scheme to the classification of various types of waveforms and images. This substantial collection of recent research begins with an introduction to Neural Networks, classifiers, and feature extraction methods. It then addresses unsupervised and fuzzy neural networks and their applications to handwritten character recognition and recognition of normal and abnormal visual evoked potentials. The third section deals with advanced neural network architectures-including modular design-and their applications to medicine and three-dimensional NN architecture simulating brain functions. The final section discusses general applications and simulations, such as the establishment of a brain-computer link, speaker identification, and face recognition. In the quickly changing field of computational intelligence, every discovery is significant. Supervised and Unsupervised Pattern Recognition gives you access to many notable findings in one convenient volume.