PPT-The “curse of dimensionality”

And the impossibility of utility maximisation From indifference Concept of subjective utility dates back at least to Aristotle made central tenet of economics and philosophy by Jeremy Bentham . dimensionalityreduction dimensionality Nuno Vasconcelos ECE De p artment , UCSD p, Note this course requires a it is responsibility to define it (although we can talk) If you are too far from this, 3:7-24. Temptation always looks good…. but while it promises . pleasure, . it . always ends in pain . Effects of Sin. . (3:7-13). Before sin: innocence & intimacy. After sin:. Effects of Sin. Dimensionality Reduction. Author: . Christoph. . Eick. The material is mostly based on the . Shlens. PCA. Tutorial . http://www2.cs.uh.edu/~. ceick/ML/pca.pdf. . and . to a lesser extend based on material . Kenneth D. Harris 24/6/15. Exploratory vs. confirmatory analysis. Exploratory analysis. Helps you formulate a hypothesis. End result is usually a nice-looking picture. Any method is equally valid – because it just helps you think of a hypothesis. Computer Graphics Course. June 2013. What is high dimensional data?. Images. Videos. Documents. Most data, actually!. What is high dimensional data?. Images – dimension 3·X·Y. Videos – dimension of image * number of frames. by John Edmiston. Dealing With Curses, . Hexes and Spells. © John Edmiston ,2012 This work is licensed under the Creative Commons Attribution-. NonCommercial. -. ShareAlike. 3.0 . Unported. License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/ or send a letter to Creative Commons, 444 Castro Street, Suite 900, Mountain View, California, 94041, USA.. of . Wet Hands. ! . . S. ignificance . of hand drying and efficacy of . different methods. . Professor John Gammon. j.gammon@swansea.ac.uk. Aim - . the Imperative to wash and dry hands!. Hands that comfort and reassure, often become vehicles for pathogens which act as deadly weapons.. Principle Component Analysis. Why Dimensionality Reduction?. It becomes more difficult to extract meaningful conclusions from a data set as data dimensionality increases--------D. L. . Donoho. Curse of dimensionality. Kenneth D. Harris. April 29, 2015. Predictions in neurophysiology. Predict neuronal activity from sensory stimulus/behaviour. “encoding model”. Predict stimulus/behaviour from neuronal activity. “decoding model”. Devansh Arpit. Motivation. Abundance of data. Required storage space explodes!. Images. Documents. Videos. Motivation. Speedup Algorithms. Motivation. Dimensionality reduction for noise filtering. Vector Representation. Aayush Mudgal [12008]. Sheallika Singh [12665]. What is Dimensionality Reduction ?. Mapping . of data to lower dimension such . that:. . uninformative variance is . discarded,. . or a subspace where data lives is . John A. Lee, Michel Verleysen. 1. Dimensionality Reduction. By: . sadatnejad. دانشگاه صنعتي اميرکبير. (. پلي تکنيک تهران). Dim. Reduction- . Practical Motivations . 2. Prophecy of Jesus. First and Second Adam. Abounding Grace. Prophecy of Jesus. The God of conflict (enmity) – ill will on one side or both; hatred; especially mutual antagonism. The serpent is attempting to do two things:. . Stolen items mentioned on the curses:. A Caracalla, or hooded cloak, is mentioned on two of the curses. (‘Caracalla’ was the nickname of the Emperor . Antoninus. who ruled from 211-17 A.D.) .