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Entropy in Image Analysis II
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Entropy in Image Analysis
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Biomedical Signal and Image Examination with Entropy-Based Techniques
The aim of this book is to outline the concept of entropy, various types of entropies and their implementation to evaluate a variety;
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Maximum Entropy and Bayesian Methods
Mexico, USA, from July 31 to August 4, 1995. Maximum entropy and Bayesian methods are widely applied to statistical data analysis and scientific;
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Statistical Data Analysis and Entropy
This book reconsiders statistical methods from the point of view of entropy, and introduces entropy-based approaches for data analysis;
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Statistical Data Analysis and Entropy
This book reconsiders statistical methods from the point of view of entropy, and introduces entropy-based approaches for data analysis;
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Entropy Analysis in Thermal Engineering Systems
Entropy Analysis in Thermal Engineering Systems is a thorough reference on the latest formulation and limitations of traditional entropy;
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Maximum Entropy and Bayesian Methods in Applied Statistics
This collection of papers by leading researchers in their respective fields contains contributions showing the use of the maximum entropy;
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The Maximum Entropy Method
Forty years ago, in 1957, the Principle of Maximum Entropy was first intro- duced by Jaynes into the field of statistical mechanics. Since;
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Optimisation in Signal and Image Processing
approach; hidden Markov models; and, metaheuristics (genetic algorithms, ant colony algorithms, cross-entropy, particle swarm optimization;
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Entropy Measures for Data Analysis
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Entropy Theory in Hydrologic Science and Engineering
any online entitlements included with the product. A THOROUGH INTRODUCTION TO ENTROPY THEORY AND ITS APPLICATIONS IN HYDROLOGIC SCIENCE AND;
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Energy and Entropy
, which corresponds to maximum entropy Analysis of energy and entropy of matter and photons, with examples ranging from rubber bands;
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Energy and Entropy
, which corresponds to maximum entropy Analysis of energy and entropy of matter and photons, with examples ranging from rubber bands;
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Nonparametric Inference of Utilites
theory. Next, we describe the basics of inferential statistics and Conjoint Analysis. Then, we describe probabilistic entropy, in addition to;
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Entropy Theory and its Application in Environmental and Water Engineering
important for urban planning and are presented with clarity. Maximum entropy spectral analysis and minimum cross entropy spectral analysis are;
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Social Entropy Theory
Social Entropy Theory illuminates the fundamental problems of societal analysis with a nonequilibrium approach, a new frame of reference;
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Content-Based Retrieval of Medical Images
fibroglandular disk, including maximum entropy, a moment-preserving method, and Otsu's method. Image processing techniques are described for automatic;
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Mutual Information-Based Image Registration
entropies of individual overlapping images and the joint entropy of the combined images. It is a measure of the reduction in uncertainty about one;
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Thermal Physics & Statistical Mechanics
also be a promising tool for the analysis of complex systems such those encountered in TPSM. The use of different entropy measures (e.g;
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Image Analysis and Recognition
This book constitutes the thoroughly refereed proceedings of the 10th International Conference on Image Analysis and Recognition, ICIAR;
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Entropy of Complex Processes and Systems
industrial facilities. The book also provides a thorough analysis of the underlying physical foundations of entropy performed from new standpoints;
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New Foundations for Information Theory
measured by logical entropy, and on the re-quantification as Shannon entropy, which is the fundamental concept for the theory of coding and;
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Information Theory in Computer Vision and Pattern Recognition
widely bringing information theory elements to the CVPR arena. Among these elements there are measures (entropy, mutual information;
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Computer-Aided Detection of Architectural Distortion in Prior Mammograms of Interval Cancer
detect architectural distortion in prior mammograms of interval-cancer cases. The methods are based upon Gabor filters, phase portrait analysis;
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Rough Fuzzy Image Analysis
Emphasizing the utility of fuzzy, near, and rough sets in image analysis, "Rough Fuzzy Image Analysis" introduces the fundamentals and;
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