DIGITAL IMAGE PROCESSING (CREATIVE WORLD OF FACE MORPHING) BY ABSTRACT A study on face morphing is proposed.The algorithms explains the extra feature of points on face and based on these feature points‚ images are portioned and morphing is performed. The algorithms has been used to generate morphing between images of face of different people as well as between images of face of individuals. To do face morphing‚ feature points are usually specified manually
Premium Linear interpolation Linear algebra Interpolation
Mycenaean artefacts Lions Head Rhyton The Lions Head Rhyton is a gold lion head made of hammered sheet metal in the shape of a lions head. Lions Head Rhyton was found in Grave IV‚ Grave Circle A Mycenae and dates to the 16th century BC. The lions head is beautifully crafted with ears‚ eyes down to the very last detail and is a very good replica of a lion’s head. It bears distinctive details such as the muzzle and mane. Historians believe that the lion represents an expression of natural strength
Premium Mycenae Linear B Greek language
Bufn758Q—Quantitative Investment Strategy Name & Student ID #:_____________________ Professor Wermers Spring 2010 Numeric Investors 1. Briefly discuss the two momentum strategies of Numeric Investors. First approach – Based on past changes in analysts’ estimates‚ where they would cluster their forecasts of company earnings‚ and would revise their earnings estimates incrementally instead of big jumps. This would force analysts to update their estimates and would make consensus estimates
Premium Regression analysis Linear regression Forecasting
1. Introduction Linear programming (LP) model is a significant and popular used model of operational research technique. It helps to optimize the objective value with constraints. LP model have three essential assumptions when use this model to solve problem. Firstly‚ proportionality and additively‚ which means that the objective function and the functions in constraints are all linear. In other words‚ it means the equation of objective and constraints are linear equation. Secondly‚ LP model
Premium Optimization Microsoft Maxima and minima
field strength as a function of the distance measured perpendicularly from a long current-carrying wire. We found that there is a linear relationship between B/I and 1/r‚ which can be seen by the graph and is predicted by Ampere’s Law. The data from this experiment produced a plot of B/I vs 1/r with a regression with a r2of 0.9698‚ which indicates a highly linear relationship. Our slope was also only off by 0.0175% which indicates that this was a highly successful lab. There‚ as usual‚ are sources
Premium Magnetic field Electromagnetism Linear regression
Operations Management II Introduction to Operations Research Operations Research (OR) Definition Operations Research is the representation of real world systems by mathematical models together with the use of quantitative methods (Algorithms) for solving such models‚ with a view of optimising. - (J.E Beasley) “The attack of modern science on complex problems arising in the direction and management of large systems of men‚ machines‚ materials and money in industry‚ business‚ government
Premium Costs Operations research Optimization
explanatory variables. In short‚ it is the ratio of ESS to TSS. (l) It is the standard deviation of the Y values about the estimated regression line. (m) BLUE means best linear unbiased estimator‚ that is‚ a linear estimator that is unbiased and has the least variance in the class of all such linear unbiased estimators. (n) A statistical procedure of testing statistical hypotheses. (o) A test of significance based on the t distribution. (p) In a one-tailed test
Premium Statistical hypothesis testing Statistics Null hypothesis
In this lecture‚ we will focus on testing the model errors for serial correlation. Recall that‚ in order to make valid inferences using the linear regression estimates‚ we need the errors of the model (i.e. residuals) to satisfy the following key assumption: • The errors of the model are independent of each other (this is the assumption of non-serial correlation): [pic] for [pic]. How do we test for serial correlation? We will estimate a simple model with two explanatory variables
Premium Regression analysis Linear regression
FORECASTING FORECASTING The Role of the Manager Planning Organizing Staffing Leading Controlling Future ? Data Information • Short-range • Medium-range • Long-range Features Common to All Forecasts Forecasting techniques generally assume that same underlying causal system that existed in the past will continue to exist in the future. Forecasts are rarely perfect. Forecasts for groups of items tend to be more accurate than forecasts for individual items. Forecast
Premium Regression analysis Forecasting Time series
Programming Exercise 2: Logistic Regression Machine Learning October 30‚ 2011 Introduction In this exercise‚ you will implement logistic regression and apply it to two different datasets. Before starting on the programming exercise‚ we strongly recommend watching the video lectures and completing the review questions for the associated topics. To get started with the exercise‚ you will need to download the starter code and unzip its contents to the directory where you wish to complete the exercise
Premium Regression analysis Logistic regression Linear regression