PDF-2016 PCA Zone 2 DE

Instructor Assignments for Friday Mar 18 Sunday Mar 20 2016 HPDE Alban MannyJudge Daniel1990 Porsche 911 C2 Gran Prix White1970 Porsche 9146 WhiteAlban MarcoFrench ShainaPorsche C2S BASALT BLACK2006. 500 400 475 575 775 875 1450 1600 450 575 625 825 925 1550 1700 1000 600 675 800 1025 1175 2050 2200 650 775 850 1075 1225 2150 2300 1500 800 875 1025 1275 1475 2650 2800 850 975 1075 1325 1525 2750 2900 2000 1000 1075 1250 1525 1775 3250 3400 1050 1 Lecture . 8. Data Processing and Representation. Principal Component Analysis (PCA). G53MLE Machine Learning Dr Guoping Qiu. 1. Problems. Object Detection. 2. G53MLE Machine Learning Dr Guoping Qiu. Problems. Linear . Discriminant. Analysis. Chaur. -Chin Chen. Institute of Information Systems and Applications. National . Tsing. . Hua. University. Hsinchu. . 30013, Taiwan. E-mail: cchen@cs.nthu.edu.tw. Lecture . 8. Data Processing and Representation. Principal Component Analysis (PCA). G53MLE Machine Learning Dr Guoping Qiu. 1. Problems. Object Detection. 2. G53MLE Machine Learning Dr Guoping Qiu. Problems. Presented by: Johnathan Franck. Mentor: . Alex . Cloninger. Outline. Different Representations. 5 Techniques. Principal component . analysis (PCA)/. Multi-dimensional . scaling (MDS). Sammons non-linear mapping.  . Correction. of . Primary. . Cicatricial. . Alopecia. . Dr. . Ekrem. Civas – Dermatologist. Dr. . Andaç. . Aykan. - Plastic surgeon. Prof. Dr. . Muhitdin. . Eski. - Plastic Surgeon. www.civashairtransplant.com. Alex Szalay. The Johns Hopkins University. Collaborators: . T.. Budavari, C-W Yip . (JHU. ), . M. Mahoney (Stanford), . I. Csabai, L. Dobos (Hungary). The Age of Surveys. CMB Surveys (pixels). 1990 COBE 1000. Motivation – Shape Matching. What is the best transformation that aligns the unicorn with the lion?. There are tagged feature points in both sets that are matched by the user. Motivation – Shape Matching. 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. . and MDS. Wilson A. . Florero. -Salinas. Dan Li. Math 285, Fall 2015. 1. Outline. What is an out-of-sample extension?. O. ut-of-sample extension of. PCA. KPCA. MDS. 2. What is out-of-sample-extension?. . 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 . 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). 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 . (based on WCO PCA Guidelines, Vol.1). “A structured examination of a business’ relevant commercial systems, sales contracts, financial and non-financial records, physical stock and other assets as a means to measure and improve compliance.”.