advantages and pitfalls of pattern recognition

Advantages And Pitfalls Of Pattern Recognition
Author: Horst Langer
Publisher: Elsevier
Release Date: 2019-11-23
Pages: 350
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

Advantages and Pitfalls of Pattern Recognition presents various methods of pattern recognition and classification, useful to geophysicists, geochemists, geologists, geographers, data analysts, and educators and students of geosciences. Scientific and technological progress has dramatically improved the knowledge of our planet with huge amounts of digital data available in various fields of Earth Sciences, such as geology, geophysics, and geography. This has led to a new perspective of data analysis, requiring specific techniques that take several features into consideration rather than single parameters. Pattern recognition techniques offer a suitable key for processing and extracting useful information from the data of multivariate analysis. This book explores both supervised and unsupervised pattern recognition techniques, while providing insight into their application. Offers real-world examples of techniques for pattern recognition and handling multivariate data Includes examples, applications, and diagrams to enhance understanding Provides an introduction and access to relevant software packages

Support Vector Machines For Pattern Classification
Author: Shigeo Abe
Publisher: Springer Science & Business Media
Release Date: 2005-07-29
Pages: 343
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

Support Vector Machines are popular because of their high classification importance; this is the first book to focus the discussions on SVMs specifically to pattern classification.

Artificial Neural Networks In Pattern Recognition
Author: Lionel Prevost
Publisher: Springer Science & Business Media
Release Date: 2008-06-25
Pages: 318
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

This book constitutes the refereed proceedings of the Third TC3 IAPR Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2008, held in Paris, France, in July 2008. The 18 revised full papers and 11 revised poster papers presented were carefully reviewed and selected from 57 submissions. The papers combine many ideas from machine learning, advanced statistics, signal and image processing for solving complex real-world pattern recognition problems. The papers are organized in topical sections on unsupervised learning, supervised learning, multiple classifiers, applications, and feature selection.

Pattern Recognition
Author: Shutao Li
Publisher: Springer
Release Date: 2014-11-05
Pages: 608
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

The two-volume set CCIS 483 and CCIS 484 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition, CCPR 2014, held in Changsha, China, in November 2014. The 112 revised full papers presented in two volumes were carefully reviewed and selected from 225 submissions. The papers are organized in topical sections on fundamentals of pattern recognition; feature extraction and classification; computer vision; image processing and analysis; video processing and analysis; biometric and action recognition; biomedical image analysis; document and speech analysis; pattern recognition applications.

Graph Based Representations In Pattern Recognition
Author: Luc Brun
Publisher: Springer Science & Business Media
Release Date: 2005-03-23
Pages: 384
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

This book constitutes the refereed proceedings of the 5th IAPR International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2005, held in Poitiers, France in April 2005. The 18 revised full papers and 17 revised poster papers presented were carefully reviewed and selected from 50 submissions. The papers are organized in topical sections on graph representations, graphs and linear representations, combinatorial maps, matching, hierarchical graph abstraction and matching, inexact

Pattern Recognition Algorithms For Data Mining
Author: Sankar K. Pal
Publisher: CRC Press
Release Date: 2004-05-27
Pages: 280
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both theoretical and experimental results. Tasks covered include data condensation, feature selection, case generation, clustering/classification, and rule generation and evaluation. This volume presents various theories, methodologies, and algorithms, using both classical approaches and hybrid paradigms. The authors emphasize large datasets with overlapping, intractable, or nonlinear boundary classes, and datasets that demonstrate granular computing in soft frameworks. Organized into eight chapters, the book begins with an introduction to PR, data mining, and knowledge discovery concepts. The authors analyze the tasks of multi-scale data condensation and dimensionality reduction, then explore the problem of learning with support vector machine (SVM). They conclude by highlighting the significance of granular computing for different mining tasks in a soft paradigm.

Pattern Recognition
Author: R‚jean Plamondon
Publisher: World Scientific
Release Date: 1991
Pages: 387
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

This book contains 15 reviewed papers selected from among those presented at the 4th Vision Interface Conference in Halifax, Canada 14 - 18 May 1990. The papers are grouped into three sections which deal with parallel architectures and neural networks, algorithms for analysis and processing, and systems and applications.

Similarity Based Pattern Recognition
Author: Edwin Hancock
Publisher: Springer
Release Date: 2013-06-28
Pages: 297
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

This book constitutes the proceedings of the Second International Workshop on Similarity Based Pattern Analysis and Recognition, SIMBAD 2013, which was held in York, UK, in July 2013. The 18 papers presented were carefully reviewed and selected from 33 submissions. They cover a wide range of problems and perspectives, from supervised to unsupervised learning, from generative to discriminative models, from theoretical issues to real-world practical applications, and offer a timely picture of the state of the art in the field.

Progress In Pattern Recognition  Image Analysis And Applications
Author: José Francisco Martínez-Trinidad
Publisher: Springer Science & Business Media
Release Date: 2006-10-12
Pages: 995
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

This book constitutes the refereed proceedings of the 11th Iberoamerican Congress on Pattern Recognition, CIARP 2006, held in Cancun, Mexico in November 2006. The 99 revised full papers presented together with three keynote articles were carefully reviewed and selected from 239 submissions. The papers cover ongoing research and mathematical methods.

Thinning Methodologies For Pattern Recognition
Author: Ching Y. Suen
Publisher: World Scientific
Release Date: 1994
Pages: 344
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

Thinning is a technique widely used in the pre-processing stage of a pattern recognition system to compress data and to enhance feature extraction in the subsequent stage. It reduces a digitized pattern to a skeleton so that all resulting branches are 1 pixel thick. The method seems easy at first and has many advantages, however after two decades of intensive research, it has been found to be very challenging due to the difficulties in programming computers to do it.This collection of 15 papers by leading scientists working in the area examines the theoretical and experimental aspects of thinning methodologies. The authors have addressed the problems faced, compared their performance results with others, and assessed the challenges ahead. Researchers will find the volume helpful in shedding light on difficult issues and stimulating further research in the area.

Pattern Recognition And Artificial Intelligence
Author: C.H. Chen
Publisher: Elsevier
Release Date: 2013-12-11
Pages: 632
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

Pattern Recognition and Artificial Intelligence contains the proceedings of the Joint Workshop on Pattern Recognition and Artificial Intelligence held in Hyannis, Massachusetts, on June 1-3, 1976. The papers explore developments in pattern recognition and artificial intelligence and cover topics ranging from scene analysis and data structure to syntactic methods, biomedicine, speech recognition, game-playing programs, and computer graphics. Grammar inference methods, image segmentation and interpretation, and relational databases are also discussed. This book is comprised of 29 chapters and begins with a description of a data structure that can learn simple programs from training samples. The reader is then introduced to the syntactic parts of pattern recognition systems; methods for multidimensional grammatical inference; a scene analysis system capable of finding structure in outdoor scenes; and a language called DEDUCE for relational databases. A sculptor's studio-like environment, in which the ""sculptor"" can create complex three-dimensional objects in the computer similar to molding a piece of clay in the machine, is also described. The remaining chapters focus on statistical and structural feature extraction; use of maximum likelihood functions for recognition of highly variable line drawings; region extraction using boundary following; and interactive screening of reconnaissance imagery. This monograph will be of interest to engineers, graduate students, and researchers in the fields of pattern recognition and artificial intelligence.

Pattern Recognition And Image Analysis
Author: IbPRIA 2003
Publisher: Springer Science & Business Media
Release Date: 2003-05-22
Pages: 1142
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

The refereed proceedings of the First Iberial Conference on Pattern Recognition and Image Analysis, IbPria 2003, held in Puerto de Andratx, Mallorca, Spain in June 2003. The 130 revised papers presented were carefully reviewed and selected from 185 full papers submitted. All current aspects of ongoing research in computer vision, image processing, pattern recognition, and speech recognition are addressed.

Dynamic Fuzzy Pattern Recognition With Applications To Finance And Engineering
Author: Larisa Angstenberger
Publisher: Springer Science & Business Media
Release Date: 2001-10-31
Pages: 287
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering focuses on fuzzy clustering methods which have proven to be very powerful in pattern recognition and considers the entire process of dynamic pattern recognition. This book sets a general framework for Dynamic Pattern Recognition, describing in detail the monitoring process using fuzzy tools and the adaptation process in which the classifiers have to be adapted, using the observations of the dynamic process. It then focuses on the problem of a changing cluster structure (new clusters, merging of clusters, splitting of clusters and the detection of gradual changes in the cluster structure). Finally, the book integrates these parts into a complete algorithm for dynamic fuzzy classifier design and classification.

Pattern Recognition In Bioinformatics
Author: Visakan Kadirkamanathan
Publisher: Springer Science & Business Media
Release Date: 2009-08-28
Pages: 452
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

This book constitutes the refereed proceedings of the Fourth International Workshop on Pattern Recognition in Bioinformatics, PRIB 2009, held in Sheffield, UK, in September 2009. The 38 revised full papers presented were carefully reviewed and selected from numerous submissions. The topics covered by these papers range from image analysis for biomedical data to systems biology. The conference aims at crating a focus for the development and application of pattern recognition techniques in the biological domain.

Subspace Methods For Pattern Recognition In Intelligent Environment
Author: Yen-Wei Chen
Publisher: Springer
Release Date: 2014-04-07
Pages: 199
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

This research book provides a comprehensive overview of the state-of-the-art subspace learning methods for pattern recognition in intelligent environment. With the fast development of internet and computer technologies, the amount of available data is rapidly increasing in our daily life. How to extract core information or useful features is an important issue. Subspace methods are widely used for dimension reduction and feature extraction in pattern recognition. They transform a high-dimensional data to a lower-dimensional space (subspace), where most information is retained. The book covers a broad spectrum of subspace methods including linear, nonlinear and multilinear subspace learning methods and applications. The applications include face alignment, face recognition, medical image analysis, remote sensing image classification, traffic sign recognition, image clustering, super resolution, edge detection, multi-view facial image synthesis.

Structural  Syntactic  And Statistical Pattern Recognition
Author: Ana Fred
Publisher: Springer Science & Business Media
Release Date: 2004-07-28
Pages: 1169
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

Quality Recognition   Prediction
Author: Shoichi Teshima
Publisher: Momentum Press
Release Date: 2012-06-15
Pages: 230
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

The Mahalanobis-Taguchi data handling and pattern recognition system is widely established-- built and extended from the original quality control precepts of Genichi Taguchi. But the MT system is not always well understood. This new book makes the system much more vivid and concrete with real-life applications in a wide variety of disciplines from industry to general commerce. The book offers a clear computational method to show the user how to actually apply the system to real manufacturing control problems. With the renowned international industry background of the three authors and their historic ties to Genichi Taguchi, this book will bring a unique insight into how to get the most benefits from the MT System. The book offers an overview of pattern recognition issues and the precepts of the MT system. explains the merits of the MT System and its computational methods. shows how to handle data with the MT System and extract useful information. provides a useful comparison of the advantages and disadvantages between traditional Artificial Intelligence systems and the MT system. provides case study examples of MT Systems applications.

Advanced Pattern Recognition Techniques
Author: North Atlantic Treaty Organization. Research and Technology Organization
Publisher:
Release Date: 1998
Pages: 168
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

Pattern recognition is the extraction of consistent information from noisy spatiotemporal data. It can be and is currently being used in systems for battlefield supervision, smart weapons, and anti-counterfeiting of all kinds. A currrent application is the automatic detection of land mines and unexploded ordnance. (UXO). The methods employed can be subdivided in the following manner: (1) statistical methods, (2) neuro - methods, (3) fuzzy - methods, and (4) neuro fuzzy methods. Each of these methods has its special advantages and drawbacks, but all of them require the computation of feature variables from measurement or simulation data, e.g. from microwave backscattering. The Lecture series covers the following topics: (1) Introductory overview on pattern recognition techniques, (1) - (4); (2)Feature extraction for pattern recognition by; (a)Electromagnetic, magnetic, and acoustic singularity identification; (b)Model based scattering signatures; (c) Wavelet techniques; (d) SAR/ISAR imaging; (e)Bistatic microwave imaging; and (f)Electromagnetic inversion techniques; (3) Real-time implementation of pattern recognition methods; and (4)Introduction to software and hardware for pattern recognition.

Biometrics In Identity Management
Author: Shimon K. Modi
Publisher: Artech House
Release Date: 2011
Pages: 278
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

In todayOCOs digital infrastructure we have to interact with an increasing number of systems, both in the physical and virtual world. Identity management (IdM) -- the process of identifying an individual and controlling access to resources based on their associated privileges -- is becoming progressively complex. This has brought the spotlight on the importance of effective and efficient means of ascertaining an individualOCOs identity. Biometric technologies like fingerprint recognition, face recognition, iris recognition etc. have a long history of use in law enforcement applications and are now transitioning towards commercial applications like password replacements, ATM authentication and others.This unique book provides you with comprehensive coverage of commercially available biometric technologies, their underlying principles, operational challenges and benefits, and deployment considerations. It also offers a look at the future direction these technologies are taking. By focusing on factors that drive the practical implementation of biometric technologies, this book serves to bridge the gap between academic researchers and industry practitioners. This book focuses on design, development, and deployment issues related to biometric technologies, including operational challenges, integration strategies, technical evaluations of biometric systems, standardization and privacy preserving principles, and several open questions which need to be answered for successful deployments."

Field Programmable Logic And Applications  The Roadmap To Reconfigurable Computing
Author: Austria) International Conference on Field-Programmable Logic and Applications (10th : 2000 : Villach
Publisher: Springer Science & Business Media
Release Date: 2000-08-21
Pages: 856
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

This book is the proceedings volume of the 10th International Conference on Field Programmable Logic and its Applications (FPL), held August 27 30, 2000 in Villach, Austria, which covered areas like reconfigurable logic (RL), reconfigurable computing (RC), and its applications, and all other aspects. Its subtitle "The Roadmap to Reconfigurable Computing" reminds us, that we are currently witnessing the runaway of a breakthrough. The annual FPL series is the eldest international conference in the world covering configware and all its aspects. It was founded 1991 at Oxford University (UK) and is 2 years older than its two most important competitors usually taking place at Monterey and Napa. FPL has been held at Oxford, Vienna, Prague, Darmstadt, London, Tallinn, and Glasgow (also see: http://www. fpl. uni kl. de/FPL/). The New Case for Reconfigurable Platforms: Converging Media. Indicated by palmtops, smart mobile phones, many other portables, and consumer electronics, media such as voice, sound, video, TV, wireless, cable, telephone, and Internet continue to converge. This creates new opportunities and even necessities for reconfigurable platform usage. The new converged media require high volume, flexible, multi purpose, multi standard, low power products adaptable to support evolving standards, emerging new standards, field upgrades, bug fixes, and, to meet the needs of a growing number of different kinds of services offered to zillions of individual subscribers preferring different media mixes.