PPT-Acceleration descriptors requirements discussion based on China Mobile

Smallcell GW Chen Wei China Mobile chenweiyjchinamobilecom Background on MANO descriptors MANO descriptors defined by ETSI NFV MANO as a group of information elements which used as deployment templates in onboarding VNFs and NSs. CSE P 576. Larry Zitnick (. larryz@microsoft.com. ). 20,000 images of Rome. =. ?. Large scale matching. How do we match millions or billions of images in under a second?. Is it even possible to store the information necessary?. . local. image . descriptors. . into. . compact. . codes. Authors. :. Hervé. . Jegou. Florent. . Perroonnin. Matthijs. . Douze. Jorge. . Sánchez. Patrick . Pérez. Cordelia. Schmidt. Presented. entry area tel|mobile [0-9]+ [0-9]+ fwd free entry entry entry area tel mobile area tel mobile 03 10091729 1201 1222 free 1887 free fwd entry tel|mobile entry [0-9]+ area [0-9]+ tel|mobile [0-9]+ [0-9 Matthew Brown. University of British Columbia. (prev.) Microsoft Research. [ Collaborators: . †. Simon Winder, *Gang . Hua. , . †. Rick . Szeliski. . †. =MS Research, *=MS Live Labs]. Applications @MSFT. vision. Applications and Algorithms in CV. Tutorial . 9:. Descriptors. Visual Descriptors. Motivation::. Scene Classification. I. ntroduction. How to differentiate between scenes?. Applications and Algorithms in CV. 3 types of descriptors. :. SIFT / PCA-SIFT . (. Ke. , . Sukthankar. ). GLOH . (. Mikolajczyk. , . Schmid. ). DAISY . (. Tola. , et al, Winder, et al). Comparison of descriptors . (. Mikolajczyk. Madison Rose . Buhre. Senior Resident Assistant. Big 5 Personality Characteristics. Take the Assessment. 5 minutes. Questionnaire (7-point scale). Calm . …. Alert. Private . …. Social. Efficient . ATSIP Traffic Records Forum . August 9, 2016. Carol Tan, PhD, FHWA. Nancy Lefler, VHB. Overview . MIRE Background . Purpose of Project. Methodology. Recommended Revisions . Next Steps. Questions/Comments . Opportunities for U.S. Firms. David Chao. DCM. Agenda. DCM • Proprietary and Confidential. 2. DCM Introduction. Growth in China. Areas of Mobile Opportunity in China. Recommendations for U.S. Companies. Samantha Horvath. Learning Based Methods in Vision. 2/14/2012. Introduction. Computer vision makes use of many “hand-crafted” descriptors.. These descriptors share many common components. This paper presents a modular framework for designing and optimizing new feature descriptors . the Classroom Environment . and Culture. . and . Professional . Collaboration . and . Communication . Dimensions of 5D . Norms for Learning. Talk. Listen. Share ideas. Respect opinions and ideas shared. W. hat . made . you . pick . your . mobile . phone?. What . quantitative factors . did you consider. ? . What . qualitative factors influenced . your . choice?. In this lesson students are learning about:. Acceleration is a change in velocity. Speed or direction. Centripetal Acceleration. Acceleration can mean a change in direction, not just speed. Centripetal acceleration. Acceleration that occurs in a circular motion. What is acceleration?. If you’re traveling in a car at a constant speed of 50 mph, are you accelerating?. No, you’re not. . Acceleration is the rate of change of velocity. . Acceleration. In order for acceleration to occur, velocity MUST be .