2d Curve Modeling Via The Method Of Probabilistic Nodes Combination

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2D Curve Modeling Via the Method of Probabilistic Nodes Combination

Author : Dariusz Jakóbczak
Publisher : LAP Lambert Academic Publishing
ISBN 13 : 9783659587306
Total Pages : 88 pages
Book Rating : 4.5/5 (873 download)

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Book Synopsis 2D Curve Modeling Via the Method of Probabilistic Nodes Combination by : Dariusz Jakóbczak

Download or read book 2D Curve Modeling Via the Method of Probabilistic Nodes Combination written by Dariusz Jakóbczak and published by LAP Lambert Academic Publishing. This book was released on 2014-09-19 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer vision needs suitable methods of shape representation and contour reconstruction. One of them, invented by the author and called method of Hurwitz-Radon Matrices (MHR), can be used in representation and reconstruction of shapes of the objects in the plane. Proposed method is based on a family of Hurwitz-Radon (HR) matrices. The matrices are skew-symmetric and possess columns composed of orthogonal vectors. 2D shape is represented by the set of successive nodes. It is shown how to create the orthogonal and discrete OHR operator and how to use it in a process of shape representation and reconstruction. Then MHR method is generalized to Probabilistic Nodes Combination (PNC) method. This work clarifies the significance and novelty of the proposed method compared to existing methods. Previous published papers of the author were dealing with the method of Hurwitz-Radon Matrices (MHR method). Novelty of this monograph and proposed method consists in the fact that calculations are free from the family of Hurwitz-Radon Matrices. Problem statement of this paper is: how to reconstruct (interpolate) missing points of the curve and how to apply new method in computer calculations.

Probabilistic Nodes Combination (PNC) for Object Modeling and Contour Reconstruction

Author : Jakóbczak, Dariusz Jacek
Publisher : IGI Global
ISBN 13 : 1522525327
Total Pages : 326 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Probabilistic Nodes Combination (PNC) for Object Modeling and Contour Reconstruction by : Jakóbczak, Dariusz Jacek

Download or read book Probabilistic Nodes Combination (PNC) for Object Modeling and Contour Reconstruction written by Jakóbczak, Dariusz Jacek and published by IGI Global. This book was released on 2017-03-24 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Shape representation and reconstruction is a vital aspect of modern computer science applications. New modeling methods and techniques can significantly optimize these processes. Probabilistic Nodes Combination (PNC) for Object Modeling and Contour Reconstruction is an innovative reference source that examines the latest trends in 2D curve interpolation and modeling methodologies. Focusing on a range of pertinent topics such as 3D surface modeling, high-dimensional data, and numerical methods, this is an ideal publication for programmers, researchers, students, and practitioners interested in emerging methods in object modeling and contour reconstruction.

Natural Language Processing: Concepts, Methodologies, Tools, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1799809528
Total Pages : 1704 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Natural Language Processing: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources

Download or read book Natural Language Processing: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2019-11-01 with total page 1704 pages. Available in PDF, EPUB and Kindle. Book excerpt: As technology continues to become more sophisticated, a computer’s ability to understand, interpret, and manipulate natural language is also accelerating. Persistent research in the field of natural language processing enables an understanding of the world around us, in addition to opportunities for manmade computing to mirror natural language processes that have existed for centuries. Natural Language Processing: Concepts, Methodologies, Tools, and Applications is a vital reference source on the latest concepts, processes, and techniques for communication between computers and humans. Highlighting a range of topics such as machine learning, computational linguistics, and semantic analysis, this multi-volume book is ideally designed for computer engineers, computer and software developers, IT professionals, academicians, researchers, and upper-level students seeking current research on the latest trends in the field of natural language processing.

Analyzing Risk through Probabilistic Modeling in Operations Research

Author : Jakóbczak, Dariusz Jacek
Publisher : IGI Global
ISBN 13 : 1466694599
Total Pages : 466 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Analyzing Risk through Probabilistic Modeling in Operations Research by : Jakóbczak, Dariusz Jacek

Download or read book Analyzing Risk through Probabilistic Modeling in Operations Research written by Jakóbczak, Dariusz Jacek and published by IGI Global. This book was released on 2015-11-03 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic modeling represents a subject spanning many branches of mathematics, economics, and computer science to connect pure mathematics with applied sciences. Operational research also relies on this connection to enable the improvement of business functions and decision making. Analyzing Risk through Probabilistic Modeling in Operations Research is an authoritative reference publication discussing the various challenges in management and decision science. Featuring exhaustive coverage on a range of topics within operational research including, but not limited to, decision analysis, data mining, process modeling, probabilistic interpolation and extrapolation, and optimization methods, this book is an essential reference source for decision makers, academicians, researchers, advanced-level students, technology developers, and government officials interested in the implementation of probabilistic modeling in various business applications.

Analyzing Data Through Probabilistic Modeling in Statistics

Author : Jakóbczak, Dariusz Jacek
Publisher : IGI Global
ISBN 13 : 1799847071
Total Pages : 331 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Analyzing Data Through Probabilistic Modeling in Statistics by : Jakóbczak, Dariusz Jacek

Download or read book Analyzing Data Through Probabilistic Modeling in Statistics written by Jakóbczak, Dariusz Jacek and published by IGI Global. This book was released on 2021-02-19 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic modeling represents a subject arising in many branches of mathematics, economics, and computer science. Such modeling connects pure mathematics with applied sciences. Similarly, data analyzing and statistics are situated on the border between pure mathematics and applied sciences. Therefore, when probabilistic modeling meets statistics, it is a very interesting occasion that has gained much research recently. With the increase of these technologies in life and work, it has become somewhat essential in the workplace to have planning, timetabling, scheduling, decision making, optimization, simulation, data analysis, and risk analysis and process modeling. However, there are still many difficulties and challenges that arrive in these sectors during the process of planning or decision making. There continues to be the need for more research on the impact of such probabilistic modeling with other approaches. Analyzing Data Through Probabilistic Modeling in Statistics is an essential reference source that builds on the available literature in the field of probabilistic modeling, statistics, operational research, planning and scheduling, data extrapolation in decision making, probabilistic interpolation and extrapolation in simulation, stochastic processes, and decision analysis. This text will provide the resources necessary for economics and management sciences and for mathematics and computer sciences. This book is ideal for interested technology developers, decision makers, mathematicians, statisticians and practitioners, stakeholders, researchers, academicians, and students looking to further their research exposure to pertinent topics in operations research and probabilistic modeling.

Intelligent Data Engineering and Automated Learning – IDEAL 2015

Author : Konrad Jackowski
Publisher : Springer
ISBN 13 : 3319248340
Total Pages : 580 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Intelligent Data Engineering and Automated Learning – IDEAL 2015 by : Konrad Jackowski

Download or read book Intelligent Data Engineering and Automated Learning – IDEAL 2015 written by Konrad Jackowski and published by Springer. This book was released on 2015-10-13 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 16th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2015, held in Wroclaw, Poland, in October 2015. The 64 revised full papers presented were carefully reviewed and selected from 127 submissions. These papers provided a valuable collection of recent research outcomes in data engineering and automated learning, from methodologies, frameworks, and techniques to applications. In addition to various topics such as evolutionary algorithms, neural networks, probabilistic modeling, swarm intelligent, multi-objective optimization, and practical applications in regression, classification, clustering, biological data processing, text processing, video analysis, IDEAL 2015 also featured a number of special sessions on several emerging topics such as computational intelligence for optimization of communication networks, discovering knowledge from data, simulation-driven DES-like modeling and performance evaluation, and intelligent applications in real-world problems.

Image Processing and Communications Challenges 7

Author : Ryszard S. Choraś
Publisher : Springer
ISBN 13 : 3319238140
Total Pages : 305 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Image Processing and Communications Challenges 7 by : Ryszard S. Choraś

Download or read book Image Processing and Communications Challenges 7 written by Ryszard S. Choraś and published by Springer. This book was released on 2015-10-14 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains papers accepted for IP&C 2015, the International Conference on Image Processing and Communications, held at UTP University of Science and Technology, Bydgoszcz, Poland, September 9-11, 2015. This conference was the eighth edition in the IP&C series of annual conferences. This book and the conference have the aim to bring together researchers and scientists in the broad fields of image processing and communications, addressing recent advances in theory, methodology and applications. The book will be of interest to a large group of researchers, engineers and practitioners in image processing and communications.

Computer Vision: Concepts, Methodologies, Tools, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1522552057
Total Pages : 2494 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Computer Vision: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources

Download or read book Computer Vision: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2018-02-02 with total page 2494 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fields of computer vision and image processing are constantly evolving as new research and applications in these areas emerge. Staying abreast of the most up-to-date developments in this field is necessary in order to promote further research and apply these developments in real-world settings. Computer Vision: Concepts, Methodologies, Tools, and Applications is an innovative reference source for the latest academic material on development of computers for gaining understanding about videos and digital images. Highlighting a range of topics, such as computational models, machine learning, and image processing, this multi-volume book is ideally designed for academicians, technology professionals, students, and researchers interested in uncovering the latest innovations in the field.

Hybrid Soft Computing for Image Segmentation

Author : Siddhartha Bhattacharyya
Publisher : Springer
ISBN 13 : 3319472232
Total Pages : 327 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Hybrid Soft Computing for Image Segmentation by : Siddhartha Bhattacharyya

Download or read book Hybrid Soft Computing for Image Segmentation written by Siddhartha Bhattacharyya and published by Springer. This book was released on 2016-11-12 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book proposes soft computing techniques for segmenting real-life images in applications such as image processing, image mining, video surveillance, and intelligent transportation systems. The book suggests hybrids deriving from three main approaches: fuzzy systems, primarily used for handling real-life problems that involve uncertainty; artificial neural networks, usually applied for machine cognition, learning, and recognition; and evolutionary computation, mainly used for search, exploration, efficient exploitation of contextual information, and optimization. The contributed chapters discuss both the strengths and the weaknesses of the approaches, and the book will be valuable for researchers and graduate students in the domains of image processing and computational intelligence.

Artificial Intelligence and Soft Computing

Author : Leszek Rutkowski
Publisher : Springer
ISBN 13 : 3319071769
Total Pages : 834 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Artificial Intelligence and Soft Computing by : Leszek Rutkowski

Download or read book Artificial Intelligence and Soft Computing written by Leszek Rutkowski and published by Springer. This book was released on 2014-05-22 with total page 834 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNAI 8467 and LNAI 8468 constitutes the refereed proceedings of the 13th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2014, held in Zakopane, Poland in June 2014. The 139 revised full papers presented in the volumes, were carefully reviewed and selected from 331 submissions. The 69 papers included in the first volume are focused on the following topical sections: Neural Networks and Their Applications, Fuzzy Systems and Their Applications, Evolutionary Algorithms and Their Applications, Classification and Estimation, Computer Vision, Image and Speech Analysis and Special Session 3: Intelligent Methods in Databases. The 71 papers in the second volume are organized in the following subjects: Data Mining, Bioinformatics, Biometrics and Medical Applications, Agent Systems, Robotics and Control, Artificial Intelligence in Modeling and Simulation, Various Problems of Artificial Intelligence, Special Session 2: Machine Learning for Visual Information Analysis and Security, Special Session 1: Applications and Properties of Fuzzy Reasoning and Calculus and Clustering.

Analyzing Data Through Probabilistic Modeling in Statistics

Author : Dariusz Jacek Jakóbczak
Publisher : Engineering Science Reference
ISBN 13 : 9781799854937
Total Pages : pages
Book Rating : 4.8/5 (549 download)

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Book Synopsis Analyzing Data Through Probabilistic Modeling in Statistics by : Dariusz Jacek Jakóbczak

Download or read book Analyzing Data Through Probabilistic Modeling in Statistics written by Dariusz Jacek Jakóbczak and published by Engineering Science Reference. This book was released on 2020-08 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence in Bioinformatics and Drug Repurposing: Methods and Applications

Author : Pan Zheng
Publisher : Frontiers Media SA
ISBN 13 : 2889748812
Total Pages : 167 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis Artificial Intelligence in Bioinformatics and Drug Repurposing: Methods and Applications by : Pan Zheng

Download or read book Artificial Intelligence in Bioinformatics and Drug Repurposing: Methods and Applications written by Pan Zheng and published by Frontiers Media SA. This book was released on 2022-04-08 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Autonomous Vehicles for Public Transportation

Author : Călin Iclodean
Publisher : Springer Nature
ISBN 13 : 3031146786
Total Pages : 461 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Autonomous Vehicles for Public Transportation by : Călin Iclodean

Download or read book Autonomous Vehicles for Public Transportation written by Călin Iclodean and published by Springer Nature. This book was released on 2022-11-26 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an interdisciplinary approach to autonomous driving technology design and development. It discusses a methodology of simulation that allows specialists to evaluate autonomous vehicle sensors functionality and integration, energy flow, efficiency, range, and service under public transport. The design, calibration, and physical model behind each autonomous vehicle sensor and component is explained. For each specific vehicle, the powertrain is analyzed, and output results are presented through the use of specific automotive industrial software (IPG CarMaker). The book gives the reader a clear perspective of the key factors influencing the global functionality of autonomous shuttle buses with respect to both their inner components the variable exterior factors and an exhaustive legal perspective in relation of their presence on public roads.

Energy Minimization Methods in Computer Vision and Pattern Recognition

Author : Anand Rangarajan
Publisher : Springer Science & Business Media
ISBN 13 : 3540404988
Total Pages : 540 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Energy Minimization Methods in Computer Vision and Pattern Recognition by : Anand Rangarajan

Download or read book Energy Minimization Methods in Computer Vision and Pattern Recognition written by Anand Rangarajan and published by Springer Science & Business Media. This book was released on 2003-06-26 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2003, held in Lisbon, Portugal in July 2003. The 33 revised full papers presented were carefully reviewed and selected from 66 submissions. The papers are organized in topical sections on unsupervised learning and matching, probabilistic modeling, segmentation and grouping, shape modeling, restoration and reconstruction, and graphs and graph-based methods.

Representations and Techniques for 3D Object Recognition and Scene Interpretation

Author : Derek Santhanam
Publisher : Springer Nature
ISBN 13 : 3031015576
Total Pages : 147 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Representations and Techniques for 3D Object Recognition and Scene Interpretation by : Derek Santhanam

Download or read book Representations and Techniques for 3D Object Recognition and Scene Interpretation written by Derek Santhanam and published by Springer Nature. This book was released on 2022-05-31 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the grand challenges of artificial intelligence is to enable computers to interpret 3D scenes and objects from imagery. This book organizes and introduces major concepts in 3D scene and object representation and inference from still images, with a focus on recent efforts to fuse models of geometry and perspective with statistical machine learning. The book is organized into three sections: (1) Interpretation of Physical Space; (2) Recognition of 3D Objects; and (3) Integrated 3D Scene Interpretation. The first discusses representations of spatial layout and techniques to interpret physical scenes from images. The second section introduces representations for 3D object categories that account for the intrinsically 3D nature of objects and provide robustness to change in viewpoints. The third section discusses strategies to unite inference of scene geometry and object pose and identity into a coherent scene interpretation. Each section broadly surveys important ideas from cognitive science and artificial intelligence research, organizes and discusses key concepts and techniques from recent work in computer vision, and describes a few sample approaches in detail. Newcomers to computer vision will benefit from introductions to basic concepts, such as single-view geometry and image classification, while experts and novices alike may find inspiration from the book's organization and discussion of the most recent ideas in 3D scene understanding and 3D object recognition. Specific topics include: mathematics of perspective geometry; visual elements of the physical scene, structural 3D scene representations; techniques and features for image and region categorization; historical perspective, computational models, and datasets and machine learning techniques for 3D object recognition; inferences of geometrical attributes of objects, such as size and pose; and probabilistic and feature-passing approaches for contextual reasoning about 3D objects and scenes. Table of Contents: Background on 3D Scene Models / Single-view Geometry / Modeling the Physical Scene / Categorizing Images and Regions / Examples of 3D Scene Interpretation / Background on 3D Recognition / Modeling 3D Objects / Recognizing and Understanding 3D Objects / Examples of 2D 1/2 Layout Models / Reasoning about Objects and Scenes / Cascades of Classifiers / Conclusion and Future Directions

The Oxford Handbook of Thinking and Reasoning

Author : Keith J. Holyoak
Publisher : Oxford University Press, USA
ISBN 13 : 0199313792
Total Pages : 865 pages
Book Rating : 4.1/5 (993 download)

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Book Synopsis The Oxford Handbook of Thinking and Reasoning by : Keith J. Holyoak

Download or read book The Oxford Handbook of Thinking and Reasoning written by Keith J. Holyoak and published by Oxford University Press, USA. This book was released on 2013-05-23 with total page 865 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Oxford Handbook of Thinking and Reasoning brings together the contributions of many of the leading researchers in thinking and reasoning to create the most comprehensive overview of research on thinking and reasoning that has ever been available.

Pattern Recognition

Author : Zeynep Akata
Publisher : Springer Nature
ISBN 13 : 3030712788
Total Pages : 504 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Pattern Recognition by : Zeynep Akata

Download or read book Pattern Recognition written by Zeynep Akata and published by Springer Nature. This book was released on 2021-03-16 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 42nd German Conference on Pattern Recognition, DAGM GCPR 2020, which took place during September 28 until October 1, 2020. The conference was planned to take place in Tübingen, Germany, but had to change to an online format due to the COVID-19 pandemic. The 34 papers presented in this volume were carefully reviewed and selected from a total of 89 submissions. They were organized in topical sections named: Normalizing Flow, Semantics, Physics, Camera Calibration and Computer Vision, Pattern Recognition, Machine Learning.