Advances In Pattern Recognition And Artificial Intelligence
Title | Advances In Pattern Recognition And Artificial Intelligence PDF eBook |
Author | Marleah Blom |
Publisher | World Scientific |
Pages | 277 |
Release | 2021-11-16 |
Genre | Computers |
ISBN | 9811239029 |
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.
Data Complexity in Pattern Recognition
Title | Data Complexity in Pattern Recognition PDF eBook |
Author | Mitra Basu |
Publisher | Springer Science & Business Media |
Pages | 309 |
Release | 2006-12-22 |
Genre | Computers |
ISBN | 1846281725 |
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.
Advances in Pattern Recognition - ICAPR 2001
Title | Advances in Pattern Recognition - ICAPR 2001 PDF eBook |
Author | Sameer Singh |
Publisher | Springer |
Pages | 491 |
Release | 2003-06-29 |
Genre | Computers |
ISBN | 3540447326 |
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)
Handbook of Pattern Recognition and Computer Vision
Title | Handbook of Pattern Recognition and Computer Vision PDF eBook |
Author | C. H. Chen |
Publisher | World Scientific |
Pages | 1045 |
Release | 1999 |
Genre | Computers |
ISBN | 9812384731 |
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.
Advanced Topics in Computer Vision
Title | Advanced Topics in Computer Vision PDF eBook |
Author | Giovanni Maria Farinella |
Publisher | Springer Science & Business Media |
Pages | 437 |
Release | 2013-09-24 |
Genre | Computers |
ISBN | 1447155203 |
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.
Advances in Pattern Recognition
Title | Advances in Pattern Recognition PDF eBook |
Author | Amin |
Publisher | |
Pages | |
Release | 1998 |
Genre | |
ISBN | 9783662212639 |
Pattern Recognition and Machine Learning
Title | Pattern Recognition and Machine Learning PDF eBook |
Author | Christopher M. Bishop |
Publisher | Springer |
Pages | 0 |
Release | 2016-08-23 |
Genre | Computers |
ISBN | 9781493938438 |
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.