Advances In Pattern Recognition
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Author | : Marleah Blom |
Publisher | : World Scientific |
Total Pages | : 277 |
Release | : 2021-11-16 |
Genre | : Computers |
ISBN | : 9811239029 |
Download Advances In Pattern Recognition And Artificial Intelligence Book in PDF, Epub and Kindle
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 |
Publisher | : Springer Science & Business Media |
Total Pages | : 309 |
Release | : 2006-12-22 |
Genre | : Computers |
ISBN | : 1846281725 |
Download Data Complexity in Pattern Recognition Book in PDF, Epub and Kindle
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 | : Sameer Singh |
Publisher | : Springer |
Total Pages | : 491 |
Release | : 2003-06-29 |
Genre | : Computers |
ISBN | : 3540447326 |
Download Advances in Pattern Recognition - ICAPR 2001 Book in PDF, Epub and Kindle
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 | : C. H. Chen |
Publisher | : World Scientific |
Total Pages | : 1045 |
Release | : 1999 |
Genre | : Computers |
ISBN | : 9812384731 |
Download Handbook of Pattern Recognition and Computer Vision Book in PDF, Epub and Kindle
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 | : Amin |
Publisher | : |
Total Pages | : |
Release | : 1998 |
Genre | : |
ISBN | : 9783662212639 |
Download Advances in Pattern Recognition Book in PDF, Epub and Kindle
Author | : Giovanni Maria Farinella |
Publisher | : Springer Science & Business Media |
Total Pages | : 437 |
Release | : 2013-09-24 |
Genre | : Computers |
ISBN | : 1447155203 |
Download Advanced Topics in Computer Vision Book in PDF, Epub and Kindle
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 | : Christopher M. Bishop |
Publisher | : Springer |
Total Pages | : 0 |
Release | : 2016-08-23 |
Genre | : Computers |
ISBN | : 9781493938438 |
Download Pattern Recognition and Machine Learning Book in PDF, Epub and Kindle
This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.
Author | : Shigeo Abe |
Publisher | : Springer Science & Business Media |
Total Pages | : 332 |
Release | : 2012-12-06 |
Genre | : Computers |
ISBN | : 1447102851 |
Download Pattern Classification Book in PDF, Epub and Kindle
This book provides a unified approach for developing a fuzzy classifier and explains the advantages and disadvantages of different classifiers through extensive performance evaluation of real data sets. It thus offers new learning paradigms for analyzing neural networks and fuzzy systems, while training fuzzy classifiers. Function approximation is also treated and function approximators are compared.
Author | : Christopher M. Bishop |
Publisher | : Oxford University Press |
Total Pages | : 501 |
Release | : 1995-11-23 |
Genre | : Computers |
ISBN | : 0198538642 |
Download Neural Networks for Pattern Recognition Book in PDF, Epub and Kindle
Statistical pattern recognition; Probability density estimation; Single-layer networks; The multi-layer perceptron; Radial basis functions; Error functions; Parameter optimization algorithms; Pre-processing and feature extraction; Learning and generalization; Bayesian techniques; Appendix; References; Index.
Author | : Patrick S P Wang |
Publisher | : World Scientific |
Total Pages | : 329 |
Release | : 1994-01-01 |
Genre | : |
ISBN | : 9814611816 |
Download Advances In Pattern Recognition Systems Using Neural Network Technologies Book in PDF, Epub and Kindle
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.