PPT-The Shape of Training

Professor Jacky Hayden Securing the future of excellent patient care Prof David Greenaway 29 th October 2013 All UK http wwwshapeoftrainingcouk reviewsofar 1788asp Key Messages. We present two algorithms for rapid shape retrieval representative shape contexts performing comparisons based on a small number of shape contexts and shapemes using vector quantization in the space of shape contexts to obtain prototypical shape p Object Segmentation. Jaechul Kim and Kristen . Grauman. University of Texas at Austin. Problem statement. Category-independent object segmentation: . Generate object segments in the image . regardless of their categories.. Applications in orthopedics, and more…. * Images: Cates J, “Shape . Modelling. and Analysis with Entropy based Particle Systems,” PhD Thesis, University of Utah. Study of ‘Shape’. What questions can it answer ?. Shindig. In my new school. . there is a rule….. Monsters can’t shout. . ‘til lights go out!. Classroom’s clean. Shiny latrine.. Spotless floor.. 2016 Challenge. Outline. Challenge . Background. Challenge . Details. Reasons to . Participate. Evidence of . Effectiveness. How to . Participate. Questions?. Navy and Marine Corps Public Health Center. Correspondence. Ibraheem Alhashim . Kai . Xu . Yixin. . Zhuang . Junjie. Cao . Patricio . Simari . Hao. . Zhang. Presenter:. Ibraheem Alhashim. Simon Fraser University. Shape Correspondence. Gianluca Minnella. Yuniesky Rodriguez. Jose Ugas. Design, construction and testing of an optimal winglet configuration.. Problem Statement. Dr. George . Dulikravich. De-strengthening of tip vortices . Ms. Blalock, Ms. Hartsell and Mr. Luckman. Do Now (. 1. 0-12 min. ). Go to engradepro.com. Click on your Living Environment . class period. Click on “tests a. nd quizzes”. Click on “Final Exam”. Processing. Part . III. Example Applications. Martin Bokeloh. Niloy. . Mitra. Michael Wand . Hao. Zhang Daniel Cohen-Or Martin . Bokeloh. Part III - Overview. Shape deformation. Nanoparticles . Yong Shan and . Nicolas . Peña. Advisors: Dr. . Chiwoo. Park, . Mr. . Katheek. . Allada. , Mr. . . Xin. Li. Department of Industrial Engineering. MOTIVATION. CONCLUSION AND FUTURE RESEARCH . Synthesis. Evangelos. . Kalogerakis. , Siddhartha . Chaudhuri. , . Daphne . Koller. , . Vladlen. . Koltun. Stanford University. SP2-. 2. Bayesian networks. Directed acyclic graph (DAG). Nodes – random variables. SMA. Smart Metal. Memory Metal. Memory Alloy. Muscle Wire. Smart alloy . Gokuul. V. 2010110010. What are shape memory alloys?. Shape Memory Alloys. A . shape-memory alloy . is an alloy that "remembers" its original, cold-forged shape: returning the pre-deformed shape by heating. . Light Transients. Chia-Yin Tsai . (. Carnegie Mellon . University). Ashok . Veeraraghavan. . (Rice University). Aswin . C. . Sankaranarayanan. . (. Carnegie Mellon . University). Shape reconstruction. Probabilistic Methods. q. Practical . Challenges in . Prob. Analysis. Quality deterministic model, validated. How to estimate input distributions. Correlated input variables. Complex systems with long solution times require more efficient alternatives to Monte Carlo.