Advances In Pattern Recognition

Author : Marleah Blom,Nicola Nobile,Ching Yee Suen
Publisher : World Scientific
Page : 277 pages
File Size : 54,5 Mb
Release : 2021-11-16
Category : Computers
ISBN : 9789811239021

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Advances In Pattern Recognition And Artificial Intelligence by Marleah Blom,Nicola Nobile,Ching Yee Suen Pdf

This book includes reviewed papers by international scholars from the 2020 International Conference on Pattern Recognition and Artificial Intelligence (held online). The papers have been expanded to provide more details specifically for the book. It is geared to promote ongoing interest and understanding about pattern recognition and artificial intelligence. Like the previous book in the series, this book covers a range of topics and illustrates potential areas where pattern recognition and artificial intelligence can be applied. It highlights, for example, how pattern recognition and artificial intelligence can be used to classify, predict, detect and help promote further discoveries related to credit scores, criminal news, national elections, license plates, gender, personality characteristics, health, and more.Chapters include works centred on medical and financial applications as well as topics related to handwriting analysis and text processing, internet security, image analysis, database creation, neural networks and deep learning. While the book is geared to promote interest from the general public, it may also be of interest to graduate students and researchers in the field.

Author : Mitra Basu,Tin Kam Ho
Publisher : Springer Science & Business Media
Page : 309 pages
File Size : 46,5 Mb
Release : 2006-12-22
Category : Computers
ISBN : 9781846281723

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Data Complexity in Pattern Recognition by Mitra Basu,Tin Kam Ho Pdf

Automatic pattern recognition has uses in science and engineering, social sciences and finance. This book examines data complexity and its role in shaping theory and techniques across many disciplines, probing strengths and deficiencies of current classification techniques, and the algorithms that drive them. The book offers guidance on choosing pattern recognition classification techniques, and helps the reader set expectations for classification performance.

Author : Thomas Lu,Tien-Hsin Chao
Publisher : Unknown
Page : 205 pages
File Size : 54,5 Mb
Release : 2018-11-16
Category : Machine learning
ISBN : 1536144290

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Advances in Pattern Recognition Research by Thomas Lu,Tien-Hsin Chao Pdf

Artificial Intelligence (AI) has become a popular research topic recently. Pattern recognition (PR) is an important part of an AI system. If the AI is considered as the digital brain, then the PR is the visual and auditory cortex that converts the optical signals from the eyes and the acoustic signals from the ears to meaningful symbolic texts that the brain can digest. Over the past 40+ years, the processing speed of a digital computer has increased from kbits/s to tera floating point operations per second (TFLOPS), a 109 times acceleration. PR research has made significant advancements along the advancement of digital hardware, especially the graphical processing unit (GPU) technology that helps the rapid processing of complex images. In this book, the authors have collected the latest work from leading researchers in the PR fields. The topics are broad, which include optical implementation of various filters, digital implementation of state-of-the-art neural network (NN) training methods, and the latest deep leaning (DL) models. We also included applications of PR in various fields.

Author : Sameer Singh,Nabeel Murshed,Walter Kropatsch
Publisher : Springer
Page : 482 pages
File Size : 43,8 Mb
Release : 2003-06-29
Category : Computers
ISBN : 9783540447320

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Advances in Pattern Recognition - ICAPR 2001 by Sameer Singh,Nabeel Murshed,Walter Kropatsch Pdf

The paper is organized as follows: In section 2, we describe the no- orientation-discontinuity interfering model based on a Gaussian stochastic model in analyzing the properties of the interfering strokes. In section 3, we describe the improved canny edge detector with an ed- orientation constraint to detect the edges and recover the weak ones of the foreground words and characters; In section 4, we illustrate, discuss and evaluate the experimental results of the proposed method, demonstrating that our algorithm significantly improves the segmentation quality; Section 5 concludes this paper. 2. The norm-orientation-discontinuity interfering stroke model Figure 2 shows three typical samples of original image segments from the original documents and their magnitude of the detected edges respectively. The magnitude of the gradient is converted into the gray level value. The darker the edge is, the larger is the gradient magnitude. It is obvious that the topmost strong edges correspond to foreground edges. It should be noted that, while usually, the foreground writing appears darker than the background image, as shown in sample image Figure 2(a), there are cases where the foreground and background have similar intensities as shown in Figure 2(b), or worst still, the background is more prominent than the foreground as in Figure 2(c). So using only the intensity value is not enough to differentiate the foreground from the background. (a) (b) (c) (d) (e) (f)

Author : Giovanni Maria Farinella,Sebastiano Battiato,Roberto Cipolla
Publisher : Springer Science & Business Media
Page : 437 pages
File Size : 44,6 Mb
Release : 2013-09-24
Category : Computers
ISBN : 9781447155201

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Advanced Topics in Computer Vision by Giovanni Maria Farinella,Sebastiano Battiato,Roberto Cipolla Pdf

This book presents a broad selection of cutting-edge research, covering both theoretical and practical aspects of reconstruction, registration, and recognition. The text provides an overview of challenging areas and descriptions of novel algorithms. Features: investigates visual features, trajectory features, and stereo matching; reviews the main challenges of semi-supervised object recognition, and a novel method for human action categorization; presents a framework for the visual localization of MAVs, and for the use of moment constraints in convex shape optimization; examines solutions to the co-recognition problem, and distance-based classifiers for large-scale image classification; describes how the four-color theorem can be used for solving MRF problems; introduces a Bayesian generative model for understanding indoor environments, and a boosting approach for generalizing the k-NN rule; discusses the issue of scene-specific object detection, and an approach for making temporal super resolution video.

Author : Patrick S P Wang,Isabelle Guyon
Publisher : World Scientific
Page : 329 pages
File Size : 40,6 Mb
Release : 1994-01-01
Category : Electronic
ISBN : 9789814611817

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Advances In Pattern Recognition Systems Using Neural Network Technologies by Patrick S P Wang,Isabelle Guyon Pdf

Contents:A Connectionist Approach to Speech Recognition (Y Bengio)Signature Verification Using a “Siamese” Time Delay Neural Network (J Bromley et al.)Boosting Performance in Neural Networks (H Drucker et al.)An Integrated Architecture for Recognition of Totally Unconstrained Handwritten Numerals (A Gupta et al.)Time-Warping Network: A Neural Approach to Hidden Markov Model Based Speech Recognition (E Levin et al.)Computing Optical Flow with a Recurrent Neural Network (H Li & J Wang)Integrated Segmentation and Recognition through Exhaustive Scans or Learned Saccadic Jumps (G L Martin et al.)Experimental Comparison of the Effect of Order in Recurrent Neural Networks (C B Miller & C L Giles)Adaptive Classification by Neural Net Based Prototype Populations (K Peleg & U Ben-Hanan)A Neural System for the Recognition of Partially Occluded Objects in Cluttered Scenes: A Pilot Study (L Wiskott & C von der Malsburg)and other papers Readership: Computer scientists and engineers.

Author : Amin
Publisher : Unknown
Page : 128 pages
File Size : 51,9 Mb
Release : 1998
Category : Electronic
ISBN : 3662212633

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Advances in Pattern Recognition by Amin Pdf

Author : Gail A. Carpenter,Stephen Grossberg
Publisher : MIT Press
Page : 724 pages
File Size : 51,8 Mb
Release : 1991
Category : Computers
ISBN : 0262031760

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Pattern Recognition by Self-organizing Neural Networks by Gail A. Carpenter,Stephen Grossberg Pdf

Pattern Recognition by Self-Organizing Neural Networks presentsthe most recent advances in an area of research that is becoming vitally important in the fields ofcognitive science, neuroscience, artificial intelligence, and neural networks in general. The 19articles take up developments in competitive learning and computational maps, adaptive resonancetheory, and specialized architectures and biological connections. Introductorysurvey articles provide a framework for understanding the many models involved in various approachesto studying neural networks. These are followed in Part 2 by articles that form the foundation formodels of competitive learning and computational mapping, and recent articles by Kohonen, applyingthem to problems in speech recognition, and by Hecht-Nielsen, applying them to problems in designingadaptive lookup tables. Articles in Part 3 focus on adaptive resonance theory (ART) networks,selforganizing pattern recognition systems whose top-down template feedback signals guarantee theirstable learning in response to arbitrary sequences of input patterns. In Part 4, articles describeembedding ART modules into larger architectures and provide experimental evidence fromneurophysiology, event-related potentials, and psychology that support the prediction that ARTmechanisms exist in the brain. Contributors: J.-P. Banquet, G.A. Carpenter, S.Grossberg, R. Hecht-Nielsen, T. Kohonen, B. Kosko, T.W. Ryan, N.A. Schmajuk, W. Singer, D. Stork, C.von der Malsburg, C.L. Winter.

Author : Michal Choraś,Ryszard S. Choraś,Marek Kurzyński,Paweł Trajdos,Jerzy Pejaś,Tomasz Hyla
Publisher : Springer Nature
Page : 362 pages
File Size : 51,6 Mb
Release : 2021-08-17
Category : Technology & Engineering
ISBN : 9783030815233

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Progress in Image Processing, Pattern Recognition and Communication Systems by Michal Choraś,Ryszard S. Choraś,Marek Kurzyński,Paweł Trajdos,Jerzy Pejaś,Tomasz Hyla Pdf

This book presents a collection of high-quality research papers accepted to multi-conference consisting of International Conference on Image Processing and Communications (IP&C 2021), International Conference on Computer Recognition Systems (CORES 2021), International Conference on Advanced Computer Systems (ACS 2021) held jointly in Bydgoszcz, Poland (virtually), in June 2021. The accepted papers address current computer science and computer systems-related technological challenges and solutions, as well as many practical applications and results. The first part of the book deals with advances in pattern recognition and classifiers, the second part is devoted to image processing and computer vision, while the third part addresses practical applications of computer recognition systems. Machine learning solutions for security and networks are tackled in part four of the book, while the last part collects papers on progress in advanced computer systems. We believe this book will be interesting for researchers and practitioners in many fields of computer science and IT applications.

Author : K. S. Fu
Publisher : Springer Science & Business Media
Page : 217 pages
File Size : 42,7 Mb
Release : 2013-03-08
Category : Science
ISBN : 9783642963032

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Digital Pattern Recognition by K. S. Fu Pdf

During the past fifteen years there has been a considerable growth of interest in problems of pattern recognition. Contributions to the blossom of this area have come from many disciplines, including statistics, psychology, linguistics, computer science, biology, taxonomy, switching theory, communication theory, control theory, and operations research. Many different approaches have been proposed and a number of books have been published. Most books published so far deal with the decision-theoretic (or statistical) approach or the syntactic (or linguistic) approach. Since the area of pattern recognition is still far from its maturity, many new research results, both in theory and in applications, are continuously produced. The purpose of this monograph is to provide a concise summary of the major recent developments in pattern recognition. The five main chapters (Chapter 2-6) in this book can be divided into two parts. The first three chapters concern primarily with basic techniques in pattern recognition. They include statistical techniques, clustering analysis and syntactic techniques. The last two chapters deal with applications; namely, picture recognition, and speech recognition and understanding. Each chapter is written by one or two distinguished experts on that subject. The editor has not attempted to impose upon the contributors to this volume a uniform notation and terminol ogy, since such notation and terminology does not as yet exist in pattern recognition.

Author : Anonim
Publisher : Allied Publishers
Page : 528 pages
File Size : 44,7 Mb
Release : 2003
Category : Pattern recognition systems
ISBN : 8177645323

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Advances in Pattern Recognition ICAPR2003 by Anonim Pdf

Author : C. H. Chen,L -F. Pau,Patrick S. P. Wang
Publisher : World Scientific
Page : 1045 pages
File Size : 42,9 Mb
Release : 1999
Category : Computers
ISBN : 9789812384737

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Handbook of Pattern Recognition and Computer Vision by C. H. Chen,L -F. Pau,Patrick S. P. Wang Pdf

The very significant advances in computer vision and pattern recognition and their applications in the last few years reflect the strong and growing interest in the field as well as the many opportunities and challenges it offers. The second edition of this handbook represents both the latest progress and updated knowledge in this dynamic field. The applications and technological issues are particularly emphasized in this edition to reflect the wide applicability of the field in many practical problems. To keep the book in a single volume, it is not possible to retain all chapters of the first edition. However, the chapters of both editions are well written for permanent reference.

Author : Adnan Amin,Dov Dori,Pavel Pudil,Herbert Freeman
Publisher : Springer Science & Business Media
Page : 1084 pages
File Size : 45,9 Mb
Release : 1998-07-29
Category : Computers
ISBN : 3540648585

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Advances in Pattern Recognition by Adnan Amin,Dov Dori,Pavel Pudil,Herbert Freeman Pdf

9

Author : José Francisco Martínez-Trinidad,Jesús Ariel Carrasco-Ochoa,Josef Kittler
Publisher : Springer
Page : 384 pages
File Size : 50,5 Mb
Release : 2010-12-22
Category : Computers
ISBN : 9783642159923

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Advances in Pattern Recognition by José Francisco Martínez-Trinidad,Jesús Ariel Carrasco-Ochoa,Josef Kittler Pdf

Annotation. This book constitutes the thoroughly refereed proceedings of the Second Mexican Conference on Pattern Recognition, MCPR 2010, held in Puebly, Mexico, in September 2010. The 39 revised papers were carefully reviewed and selected from 89 submissions and are organized in topical sections on computer vision and robotics, image processing, neural networks and signal processing, pattern recognition, data mining, natural language and document processing.

Author : José Francisco Martinez-Trinidad,Jesús Ariel Carrasco-Ochoa,Josef Kittler
Publisher : Springer Science & Business Media
Page : 395 pages
File Size : 50,7 Mb
Release : 2010-09-13
Category : Computers
ISBN : 9783642159916

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Advances in Pattern Recognition by José Francisco Martinez-Trinidad,Jesús Ariel Carrasco-Ochoa,Josef Kittler Pdf

This book constitutes the thoroughly refereed proceedings of the Second Mexican Conference on Pattern Recognition, MCPR 2010, held in Puebly, Mexico, in September 2010. The 39 revised papers were carefully reviewed and selected from 89 submissions and are organized in topical sections on computer vision and robotics, image processing, neural networks and signal processing, pattern recognition, data mining, natural language and document processing.