'Model fitting' diaporamas de présentation

Model Selection/Comparison

947 views • 63 slides

Abundance determinations in photoionized nebulae

Abundance determinations in photoionized nebulae. Grazyna Stasinska. Observatoire de Meudon Mexico october 2006. Why care ?. 1- abundances in HII regions probe the present-day abundances in galaxies

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Non-Imaging Data Analysis

Non-Imaging Data Analysis. Tim Pearson. Introduction. Reasons for analyzing visibility data Insufficient ( u,v )-plane coverage to make an image Inadequate calibration Quantitative analysis Direct comparison of two data sets Error estimation

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CS5112: Algorithms and Data Structures for Applications

CS5112: Algorithms and Data Structures for Applications. Lecture 21: Algorithmic issues in tracking. Ramin Zabih Some content from: Wikipedia/Google image search. Lecture Outline. Applying mean shift to tracking Expectation maximization RANSAC M-estimation Least squares fitting.

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SIMULATION MODELLING IN NATURAL RESOURCE MANAGEMENT

Photo: Kendra Holt. SIMULATION MODELLING IN NATURAL RESOURCE MANAGEMENT. For i = minE To maxE Step Estep Cells(Erow, Ecol) = i SolverOk SetCell:="$B$26", MaxMinVal:=2, SolverSolve True neg_log_L(i) = Cells(L_row, L_col) If neg_log_L(i) <= min_L Then

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LING 696B: Mixture model and its applications in category learning

LING 696B: Mixture model and its applications in category learning. Recap from last time. G&G model: a self-organizing map (neural net) that does unsupervised learning Non-parametric approach: encoding stimuli distribution by large number of connection weights. Question from last time.

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Statistics

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Bayesian Shape Measurement and Galaxy Model Fitting

Bayesian Shape Measurement and Galaxy Model Fitting. Thomas Kitching Lance Miller, Catherine Heymans, Alan Heavens, Ludo Van Waerbeke Miller et al. (2007) accepted, MNRAS (background and algorithm) arXiv:0708.2340 Kitching et al. (2007) in prep. (further development and STEP analysis).

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Model-based Image Interpretation with Application to Facial Expression Recognition

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Image Analysis

Image Analysis. Jim Lovell ATNF Synthesis Imaging Workshop May 2003. What Do You Want to Measure? (What you want to do and how to do it.). Flux density of components Absolute positions Relative positions and motions Flux density variability

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Digital Perception Lab.

Digital Perception Lab. Dept. Electrical and Computer Systems Engineering Monash University. Research Covers Areas Such as: Computational Mathematics Novel Splines and Fast Approximation of Splines (related to Radial Basis Functions, Support Vector Machines)

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VLSI Testing Lecture 2: Yield & Quality

VLSI Testing Lecture 2: Yield & Quality. Dr. Vishwani D. Agrawal James J. Danaher Professor of Electrical and Computer Engineering Auburn University, Alabama 36849, USA vagrawal@eng.auburn.edu http://www.eng.auburn.edu/~vagrawal IIT Delhi, Aug 17, 2013, 11:00AM-12:00PM. Contents.

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Bayesian evidence for visualizing model selection uncertainty

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Enabling Users to Guide the Design of Robust Model Fitting Algorithms

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Travis Metcalfe (NCAR)

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Volatility

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Genetic and Environmental Influences on Stages of Alcohol Use

Genetic and Environmental Influences on Stages of Alcohol Use Across Adolescence and Into Young Adulthood Jason L. Pagan 1 , Richard J. Rose 2 , Richard J. Viken 2 , Lea Pulkkinen 3 , Jaakko Kaprio 4 , & Danielle M. Dick 1

138 views • 1 slides

IVC : a simulation and model-fitting tool for optical-IR interferometry

7013-158. 7013-158. Fig.1: The GUI with the tabbed graphical windows and the control buttons panel. Fig.2: An example of an imaging model generated by the Toy Models Tool.

81 views • 1 slides