PPT-PCA as Optimization (Cont.)

Recall Toy Example Empirical Sample EigenVectors Theoretical Distribution amp Eigenvectors Different Connect Math to Graphics Cont 2d Toy Example PC1 Projections Best 1d Approximations of Data. Unsupervised. Learning. Santosh . Vempala. , Georgia Tech. Unsupervised learning. Data is no longer the constraint in many settings. . … (imagine sophisticated images here)…. But, . How to understand it? . 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. 3 types of descriptors. :. SIFT / PCA-SIFT . (. Ke. , . Sukthankar. ). GLOH . (. Mikolajczyk. , . Schmid. ). DAISY . (. Tola. , et al, Winder, et al). Comparison of descriptors . (. Mikolajczyk. 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. . 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). TIPS ON WRITING GOOD NOTES. What is Meant by ‘good notes’?. 1. just the facts. 2. observations re: appearance, body language, environment. 3. if you draw a conclusion, the notes should substantiate it with facts. Bavineni. . Pushpa. . Lekha. (916-25-5272). Lokesh Dasari (916-33-8052). Bhushan. . Bamane. (916-56-0463). Road Map. INTRODUCTION. MOBILE IP. ROUTE OPTIMIZATION. UPDATING BINDING CACHES. FOREIGN AGENT SMOOTH HANDOFFS. Kadin Tseng. Boston University. Scientific Computing and Visualization. Outline. Introduction. Timing. Example Code. Profiling. Cache. Tuning. Parallel Performance. Code Tuning and Optimization. 2. Introduction. 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 . Diederik. P. . Kingma. . Jimmy Lei Ba. Presented by . Xinxin. . Zuo. 10/20/2017. Outline. What is Adam. The optimization algorithm. . Bias correction. Bounded . update. Relations with Other approaches. Classification of algorithms. The DIRECT algorithm. Divided rectangles. Exploration and Exploitation as bi-objective optimization. Application to High Speed Civil Transport. Global optimization issues. th. , 2014. Eigvals. and . eigvecs. Eigvals. + . Eigvecs. An eigenvector of a . square matrix. A is a . non-zero. vector V that when multiplied with A yields a scalar multiplication of itself by .