PPT-A Generalization of Sparse PCA

to Multiple Correspondence Analysis G Saporta 1 A Bernard 12 C Guinot 23 1 CNAM Paris France 2 CERIES Neuilly sur Seine France 3 Université François Rabelais. Volkan . Cevher. volkan.cevher@epfl.ch. Laboratory. for Information . . and Inference Systems - . LIONS. . http://lions.epfl.ch. Linear Dimensionality Reduction. Compressive sensing. non-adaptive measurements. Aswin C Sankaranarayanan. Rice University. Richard G. . Baraniuk. Andrew E. Waters. Background subtraction in surveillance videos. s. tatic camera with foreground objects. r. ank 1 . background. s. parse. From Theory to Practice . Dina . Katabi. O. . Abari. , E. . Adalsteinsson. , A. Adam, F. . adib. , . A. . Agarwal. , . O. C. . Andronesi. , . Arvind. , A. . Chandrakasan. , F. Durand, E. . Hamed. , H. . Aditya. Chopra and Prof. Brian L. Evans. Department of Electrical and Computer Engineering. The University of Texas at Austin. 1. Introduction. Finite Impulse Response (FIR) model of transmission media. Recall Toy . Example. Empirical . (Sample). EigenVectors. Theoretical. Distribution. & Eigenvectors. Different!. Connect Math to Graphics (Cont.). 2-d Toy Example. PC1 Projections. Best 1-d Approximations of Data. Vitaly Feldman. Accelerated Discovery Lab. IBM Research - . Almaden. . Cynthia . Dwork. Moritz . Hardt. Toni . Pitassi. Omer . Reingold. . Aaron Roth. Microsoft Res. Google Res. U. of Toronto Samsung Res. Hasty . Generalization: . when someone judges someone or something without or very little information. .. Ex. When you say that one school is bad because your friends told you it was. You can’t say that the school is bad without attending or without the right information.. onto convex sets. Volkan. Cevher. Laboratory. for Information . . and Inference Systems – . LIONS / EPFL. http://lions.epfl.ch . . joint work with . Stephen Becker. Anastasios. . Kyrillidis. ISMP’12. . hongliang. . xue. Motivation. . Face recognition technology is widely used in our lives. . Using MATLAB. . ORL database. Database. The ORL Database of Faces. taken between April 1992 and April 1994 at the Cambridge University Computer . Tianzhu . Zhang. 1,2. , . Adel Bibi. 1. , . Bernard Ghanem. 1. 1. 2. Circulant. Primal . Formulation. 3. Dual Formulation. Fourier Domain. Time . Domain. Here, the inverse Fourier transform is for each . Remember to be alert: the data might answer questions you didn’t ask. Keith Jahoda. 29 March 2012. PCA Energy Calibration - status. Current (final) calibration is described in . Shaposhnikov. et al. “Advances in the RXTE PCA Calibration: Nearing the Statistical Limit” (in preparation). Michael . Elad. The Computer Science Department. The . Technion. – Israel Institute of technology. Haifa 32000, . Israel. David L. Donoho. Statistics Department Stanford USA. Yi Ma. 1,2. . Allen Yang. 3. John . Wright. 1. CVPR Tutorial, June 20, 2009. 1. Microsoft Research Asia. 3. University of California Berkeley. 2. University of Illinois . at Urbana-Champaign. NCA (nurse controlled analgesia) chart. Implementation Education. A presentation prepared by the Office of Kids and Families . in association with the Agency of Clinical Innovation Pain Management Network .