EE-148 Expectation Maximization. Markus Weber 5/11/99. Overview. Expectation Maximization is a technique used to estimate probability densities under missing (unobserved) data. Density Estimation Observed vs. Missing Data EM. Probability Density Estimation Why is it important?.

ByAnimating Speed Position and Orientation. Presented by Kailash Sawant Hemanth Krishnamachari. Introduction. animate vb 1. To impart life to, 2. To give sprit and vigor to, 3. To make appear to move. Introduction (contd.). Aspects of Animation

ByERRATIC MOTION . Objectives: Determine position, velocity, and acceleration using graphs. APPLICATION. Having a v-s graph, can we determine a at s = 300m? How?. GRAPHING. -Better to handle complex motions difficult to describe with formulas. -Graphs provide a visual description of motion.

ByIntro to Pneumatics. Presented by Jon Pannell. Lesson Breakdown:. Part One: Lecture covering: What are Pneumatics What is a “system” and what is it made of Applications Advantages and disadvantages Calculations with Pneumatics Part Two: Hands on lab and experimentation.

ByStructure of the earth. Wwk -`what is the earth made of and how does it effect it. The liquid magma inside the earth churns and creates earths magnetic field. The interior of earth. The magnetic field.

ByAffine Motion-compensated Prediction. Dragomir Anguelov EE368B Final Project December 8, 2000. Motivation. Motion models used for prediction Translation How about more complex motions: rotation, shear? Tradeoff – increased expressivity vs. increased number of parameters. Motion Models.

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