Search Results - mathematical statistics image processing.

Ecological modelling for sustainable development

Table of Contents: “…Tangang and Liew Juneng -- Application of Statistical Techniques in Retrieving Sea Surface Temperature from Satellite Image-H.G. …”
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Extremes in Random Fields : a Theory and Its Applications. by Yakir, Benjamin

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Global optimization methods in geophysical inversion by Sen, Mrinal K.

Table of Contents: “…Cover -- Global Optimization Methods in Geophysical Inversion -- Title -- Copyright -- Contents -- Preface to the first edition (1995) -- Preface to the second edition (2013) -- 1 Preliminary statistics -- 1.1 Random variables -- 1.2 Random numbers -- 1.3 Probability -- 1.4 Probability distribution, distribution function, and density function -- 1.4.1 Examples of distribution and density functions -- 1.4.1.1 Normal or Gaussian distribution -- 1.4.1.2 Cauchy distribution -- 1.4.1.3 Gibbs' distribution -- 1.5 Joint and marginal probability distributions -- 1.6 Mathematical expectation, moments, variances, and covariances -- 1.7 Conditional probability and Bayes' rule -- 1.8 Monte Carlo integration -- 1.9 Importance sampling -- 1.10 Stochastic processes -- 1.11 Markov chains -- 1.12 Homogeneous, inhomogeneous, irreducible, and aperiodic Markov chains -- 1.13 The limiting probability -- 2 Direct, linear, and iterative-linear inverse methods -- 2.1 Direct inversion methods -- 2.2 Model-based inversion methods -- 2.2.1 Linear/linearized methods -- 2.2.2 Iterative-linear or gradient-based methods -- 2.2.3 Enumerative or grid-search method -- 2.2.4 Monte Carlo method -- 2.2.4.1 Directed Monte Carlo methods -- 2.3 Linear/linearized inverse methods -- 2.3.1 Existence -- 2.3.2 Uniqueness -- 2.3.3 Stability -- 2.3.4 Robustness -- 2.4 Solution of linear inverse problems -- 2.4.1 Method of least squares -- 2.4.1.1 Maximum-likelihood methods -- 2.4.2 Stability and uniqueness -- singular-value-decomposition (SVD) analysis -- 2.4.3 Methods of constraining the solution -- 2.4.3.1 Positivity constraint -- 2.4.3.2 Prior model -- 2.4.3.3 Model smoothness -- 2.4.4 Uncertainty estimates -- 2.4.5 Regularization -- 2.4.5.1 Method for choosing the regularization parameter -- The L-curve -- Generalized cross-validation (GCV) method -- Morozov's discrepancy principle.…”
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Object Detection and Recognition in Digital Images : Theory and Practice. by Cyganek, Boguslaw

Table of Contents: “…2.5.1.1 Computation of Matrix Exponent and Logarithm Functions2.5.2 Euclidean Image Distance and Standardizing Transform; 2.6 Filtering of Tensor Fields; 2.6.1 Order Statistic Filtering of Tensor Data; 2.6.2 Anisotropic Diffusion Filtering; 2.6.3 IMPLEMENTATION of Diffusion Processes; 2.7 Looking into Images with the Structural Tensor; 2.7.1 Structural Tensor in Two-Dimensional Image Space; 2.7.2 Spatio-Temporal Structural Tensor; 2.7.3 Multichannel and Scale-Space Structural Tensor; 2.7.4 Extended Structural Tensor; 2.7.4.1 IMPLEMENTATION of the Linear and Nonlinear Structural Tensor.…”
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Mathematical and physical modelling of microwave scattering and polarimetric remote sensing : monitoring the Earth's environment using polarimetric radar : formulation and potentia... by Kozlov, A. I. (Anatoliĭ Ivanovich), doktor fiziko-matematicheskikh nauk

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Computer Aided Methods in Optimal Design and Operations : Vilnius, Lithuania. by Bogle, I. D. L.

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Healthcare analytics : from data to knowledge to healthcare improvement by Lee, Eva K.

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Phase Transitions in Foods. by Roos, Yrjo H., Drusch, Stephan

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Archaeology in the digital era : papers from the 40th Annual Conference of Computer Applications and Quantitative Methods in Archaeology (CAA), Southampton, 26-29 March 2012

Table of Contents: “…Dating Historical Rock Art on Marble Surfaces by Means of a Mathematical Model for Natural Erosion Processes /…”
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Artificial Intelligence and Spectroscopic Techniques for Gemology Applications. by Shukla, Ashutosh Kumar

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Machine interpretation of patterns : image analysis and data mining

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Integrative cluster analysis in bioinformatics by Abu Jamous, Basel

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Modeling semi-arid water-soil-vegetation systems by Wang, Xixi

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MATLAB® for Neuroscientists : an introduction to scientific computing in MATLAB® by Wallisch, Pascal, 1978-

Table of Contents: “…MATLAB tutorial -- Mathematics and statistics tutorial -- Programming tutorial : principles and best practices -- Visualization and documentation tutorial -- Collecting reaction times I : visual search and pop out -- Collecting reaction times II : attention -- Psychophysics -- Psychophysics with GUIs -- Signal detection theory -- Frequency analysis part I : Fourier decomposition -- Frequency analysis part II : nonstationary signals and spectograms -- Wavelets -- Introduction to phase plane analysis -- Exploring the Figzhugh-Nagumo model -- Convolution -- Neural data analysis I : encoding -- Neural data analysis II : binned spike data -- Principal components analysis -- Information theory -- Neural decoding part I : discrete variables -- Neural decoding part II : continuous variables -- Local field potentials -- Functional magnetic imaging -- Voltage-gated ion channels -- Synaptic transmission -- Modeling a single neuron -- Models of the retina -- SImplified model of spiking neurons -- Fitzhugh-Nagumo model : traveling waves -- Decision theory lab -- Markov models -- Modeling spike trains as a Poisson process -- Exploring the Wilson-Cowan equations -- Neural networks as forest fires : stochastic neurodynamics -- Neural networks lab I : unsupervised learing -- Neural network lab II : supervised learning.…”
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Practical data analysis by Cuesta, Hector

Table of Contents: “…Cover; Copyright; Credits; Foreword; About the Author; Acknowledgments; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1:Getting Started; Computer science; Artificial intelligence (AI); Machine Learning (ML); Statistics; Mathematics; Knowledge domain; Data, information, and knowledge; The nature of data; The data analysis process; The problem; Data preparation; Data exploration; Predictive modeling; Visualization of results; Quantitative versus qualitative data analysis; Importance of data visualization; What about big data?…”
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A Taxonomy for Texture Description and Identification by Rao, A. Ravishankar

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Craniofacial Identification. by Wilkinson, Caroline, 1965-

Table of Contents: “…5.1 Introduction5.1.1 Desirable features of an ageing system; 5.2 Non-statistical methods; 5.3 Facial composites; 5.3.1 A face description model; 5.3.2 Building a prototype; 5.3.3 The efficacy of prototype face images; 5.4 Statistical representation of faces; 5.5 Ageing using principal components analysis; 5.6 Trajectories; 5.7 3D; 5.8 Partial least squares; 5.9 Fine detail analysis; 5.10 Conclusion; References; Chapter 6: Age progression and regression; 6.1 Introduction; 6.2 Age progression; 6.3 Juvenile age progression; 6.4 Ageing adults; 6.5 Age regression; References.…”
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Proceedings of Coastal Dynamics 2009 : impacts of human activities on dynamic coastal processes ; Tokyo, Japan, 7-11 September 2009

Table of Contents: “…Seasonal closure of Chilaw Inlet, Sri Lanka : physical processes and mathematical modeling / Magnus Larson [and others] -- 98. …”
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A practical introduction to computer vision with OpenCV by Dawson-Howe, Kenneth

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Application of structural equation modeling in educational research and practice

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