STRUCTURE PRESERVING IMAGE INTERPOLATION VIA ADAPTIVE 2D AUTOREGRESSIVE MODELING Xiangjun Zhang and Xiaolin Wu Department of Electrical & Computer Engineering‚ McMaster University Hamilton‚ ON‚ Canada L8S 4K1; zhangxj@grads.ece.mcmaster.ca/xwu@ece.mcmaster.ca ABSTRACT The performance of image interpolation depends on an image model that can adapt to nonstationary statistics of natural images when estimating the missing pixels. However‚ the construction of such an adaptive model needs the knowledge
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to solve in order to find the cubic spline passing through the three points (0‚ 1)‚ (0.5‚ 2) and (1‚ 4). Plot the resulting spline (you may use the file plotspline.m). 5. What happens to the condition number of the matrix S used in cubic spline interpolation as the size n becomes large (you may use the file splinemat.m)? 6. A parabolic runout spline is the interpolating function you get by changing the condition f ′′ (x1 ) = f ′′ (xn ) = 0 to the condition that p1 (x) and pn−1 (x) should be quadratic
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Determining g on an Incline During the early part of the seventeenth century‚ Galileo experimentally examined the concept of acceleration. One of his goals was to learn more about freely falling objects. Unfortunately‚ his timing devices were not precise enough to allow him to study free fall directly. Therefore‚ he decided to limit the acceleration by using fluids‚ inclined planes‚ and pendulums. In this lab exercise‚ you will see how the acceleration of a rolling ball or cart depends on the ramp
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CE 27: Analytical and Computational Methods in Civil Engineering II Machine Problem 2: Look-up Table By: Glenn Matthew G. Manalese 2011-01573 Submitted to: Mr. Maxell Lumbera 19 February 2013 College of Engineering University of the Philippines-Diliman I. Introduction The amout of pollutants released by motor vehicles in a community can affect a lot of its sectors (such as agriculture‚ tourism)‚ and the health of its occupants. But in transportation engineering‚ these amounts
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Chapter 1 Multivariate analysis refers to all statistical techniques that simultaneously analyze multiple measurements on individuals or objects under investigation. Factor analysis identifies the structure underlying a set of variables Discriminant analysis differentiates among groups based on a set of variables. All the variables must be random and interrelated in such ways that their different effects cannot meaningfully be interpreted separately. Nonmetric measurement scales Nominal
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---------------------------------- Acidspunk installation instruction ---------------------------------- Acidspunk requires an MMX processor and DirectX Place the .dll in winamp’s plugin directory. Start winamp and press "ctrl-k" Choose acidspunk and press "configure" (or "alt-k") Set the screen resolution Start the plugin "ctrl-shift-k" Check the framerate by pressing F2 while the plugin is running. The plugin should run between 20-30 frames per second to look good. If not adjust
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Introduction This document presents the regression analysis of customer survey data of Hatco‚ a large industrial supplier. The data has been collected for 100 customers of Hatco on 14 parameters. The 14 variables are as follows: * Perceptions of Hatco: This data was collected on a graphic measurement rating scale consisting of a 10cm line ranging from poor to excellent. Indicator | Variable | Description | X1 | Delivery speed | amount of time it takes to deliver the product once an order
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References: [1] Martin Bichsel‚ "Automatic Interpolation and Recognition of Face Images by Morphing"‚ proceedings of the 2nd international conference on automatic face and gesture recognition‚ pp128-135 [2] Jonas Gomes et al. "Warping and morphing of graphical objects "‚ Morgan Kaufmann Publishers
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Banks‚ customer relationships‚ and customer defection 4. Measures of relationship 5. Independent variables: SERVQUAL dimensions 6. Propensity to switch banks 7. Univariate tests 7.1. Comparison between high and low propensity to switch 8. A multivariate
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2.1 Materials 2 2.2 Methods 3 III Results 4 3.1 ANOVA 4 3.2 Multivariate analysis 4 IV Discussion 4 Conclusion 5 * Introduction 1 I Title‚ Abstract and Introduction 2 1.1 Objective of the study 2 1.2 Title 2 1.3 Abstract 2 1.4 Intoduction 2 II Materials and Methods 2 2.1 Materials 2 2.2 Methods 3 III Results 4 3.1 ANOVA 4 3.2 Multivariate analysis 4 IV Discussion 4 Conclusion 5 outpents.edu.ms
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