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Markov Models for Pattern Recognition: From Theory to Applications (Advances in Computer Vision and Pattern Recognition)
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Fuzzy Models and Algorithms for Pattern Recognition and Image Processing (The Handbooks of Fuzzy Sets, 4)
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Probabilistic Graphical Models: Principles and Applications (Advances in Computer Vision and Pattern Recognition)
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Sparse Modeling: Theory, Algorithms, and Applications (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
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Introduction to Machine Learning with Applications in Information Security (Chapman & Hall/CRC Machine Learning & Pattern …
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A First Course in Machine Learning (Chapman & Hall/Crc Machine Learning & Pattern Recognition)
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Statistical Shape and Deformation Analysis: Methods, Implementation and Applications (Computer Vision and Pattern Recognit…
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Learning Resources Pattern Block Design Cards, Color Recognition, STEM Toy, Ages 4+
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Bandit Algorithms
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High-Dimensional Data Analysis with Low-Dimensional Models: Principles, Computation, and Applications
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Chess Pattern Recognition for Beginners: The Fundamental Guide to Spotting Key Moves in the Middlegame
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Data Science and Machine Learning: Mathematical and Statistical Methods (Chapman & Hall/CRC Machine Learning & Pattern Rec…
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Help your children develop their pattern recognition skills with this spring themed pattern worksheet. After studying each pattern, have your children cut out the pictures from the bottom of the worksheet and paste them in the blank boxes on the right to complete the pattern in each line. The spring pictures to choose from include: a bunny, duckling, butterfly, bee, and a flower.
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This book places the formalism of Markov chain and hidden Markov models at the very center of its examination of current pattern recognition systems, demonstrating how the models can be used in a range of different applications. Introduction Application Areas Part I: Theory Foundations of Mathematical Statistics Vector Quantization and Mixture Estimation Hidden Markov Models n-Gram Models Part II: Practice Computations with Probabilities Configuration of Hidden Markov Models Robust Parameter Estimation Efficient Model Evaluation Model Adaptation Integrated Search Methods Part III: Systems Speech Recognition Handwriting Recognition Analysis of Biological Sequences • Author: Gernot A Fink • ISBN:9781447163077 • Format:Hardcover • Publication Date:2014-01-28
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Introduction.- Type-2 Fuzzy Sets for Pattern Recognition.- Type-2 Fuzzy Gaussian Mixture Models.- Probabilistic Graphical Models.- Type-2 Fuzzy Markov Random Fields.- Type-2 Fuzzy Topic Models.- Conclusions and Future Work. • Author: Jia Zeng,Zhi-Qiang Liu • ISBN:9783662446898 • Format:Hardcover • Publication Date:2014-09-29
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| Author: Luis Enrique Sucar | Publisher: Springer | Publication Date: December 24, 2020 | Number of Pages: 383 pages | Language: English | Binding: Hardcover | ISBN-10: 3030619427 | ISBN-13: 9783030619428
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Fuzzy Models and Algorithms for Pattern Recognition and Image Processing / Edition 1
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This book presents an influence analysis between items in time-stamped databases. It covers developments in data analysis and pattern recognition in multiple databases and details the application of intelligent systems modeling to multiple database analysis. Introduction.- Synthesizing Different Extreme Association Rules in Multiple Data Sources.- Clustering items in time-stamped databases induced by stability.- Mining global patterns in multiple large databases.- Clustering Local Frequency Items in Multiple Data Sources.- Mining Patterns of Select Items in Different Data S
ources.- Synthesizing Global Exceptional Patterns in Different Data Sources.- Mining Icebergs in Different Time-Stamped Data Sources.- Mining Calendar-Based Periodic Patterns in Time-Stamped Data.- Measuring Influence of an Item in Time-Stamped Databases.- Summary and Conclusions. • Author: Animesh Adhikari,Jhimli Adhikari,Witold Pedrycz • ISBN:9783319034096 • Format:Hardcover • Publication Date:2013-12-18
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Specifications Suggested Age: 22 Years and Up Number of Pages: 776 Genre: Technology Sub-Genre: Automation Series Title: Handbooks of Fuzzy Sets Format: Hardcover Publisher: Springer Author: James C Bezdek \u0026 James Keller \u0026 Raghu Krisnapuram \u0026 Nikhil Pal Language: English Street Date : August 31, 1999 TCIN : 86384949 UPC : 9780792385219 Item Number (DPCI) : 247-19-8926 Origin : Made in the USA or Imported Description Book Synopsis Fuzzy Models and Algorithms for Pattern Recognition and Image Processing presents a comprehensive introduction of the use of fuzzy models in pattern recognition and selected topics in image processing and computer vision. Unique to this volume in the Kluwer Handbooks of Fuzzy Sets Series is the fact that this book was written in its entirety by its four authors. A single notation, presentation style, and purpose are used throughout. The result is an extensive unified treatment of many fuzzy models for pattern recognition. The main topics are clustering and classifier design, with extensive material on feature analysis relational clustering, image processing and computer vision. Also included are numerous figures, images and numerical examples that illustrate the use of various models involving applications in medicine, character and word recognition, remote sensing, military image analysis, and industrial engineering. If the item details above aren’t accurate or complete, we want to know about it. Report incorrect product info.
