PPT-Human Activity Inference on Smartphones Using
Author : luanne-stotts | Published Date : 2016-08-11
C ommunity Similarity Network CSN Ye Xu Labeled Data from Mobile Users the population diversity problem one size doesnt fit for all the population diversity problem
Presentation Embed Code
Download Presentation
Download Presentation The PPT/PDF document "Human Activity Inference on Smartphones ..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.
Human Activity Inference on Smartphones Using: Transcript
C ommunity Similarity Network CSN Ye Xu Labeled Data from Mobile Users the population diversity problem one size doesnt fit for all the population diversity problem one size doesnt fit for all. 9xmin websit website a Channel and website owned and operated by 9X Media Private Limited 9X MEDIA as stated hereunder 1 Viewers interested in participating in the Contest can give a missed call to 9223022555 as detailed in these rules 2 The Contest Daniel R. Schlegel. Department of Computer Science and Engineering. Problem Summary. Inference graphs. 2. in their current form only support propositional logic. We expand it to support . L. A. – A Logic of Arbitrary and Indefinite Objects.. 2 The Role of Smartphones in Mediating the Touristic ExperienceINTRODUCTION Mobile phones have evolved in the past few years such that they have a variety of input capabilities, large screens, reliabl Rahul Sharma and Alex Aiken (Stanford University). 1. Randomized Search. x. = . i. ;. y = j;. while . y!=0 . do. . x = x-1;. . y = y-1;. if( . i. ==j ). assert x==0. No!. Yes!. . 2. Invariants. . CRF Inference Problem. CRF over variables: . CRF distribution:. MAP inference:. MPM (maximum posterior . marginals. ) inference:. Other notation. Unnormalized. distribution. Variational. distribution. Chapter 14 . The pinhole camera. Structure. Pinhole camera model. Three geometric problems. Homogeneous coordinates. Solving the problems. Exterior orientation problem. Camera calibration. 3D reconstruction. Daniel R. Schlegel and Stuart C. Shapiro. <. drschleg,shapiro. >@buffalo.edu. Department of Computer Science and Engineering. L. A. – Logic of Arbitrary and Indefinite Objects. 2. Logic in Cognitive Systems. Susan Athey, Stanford GSB. Based on joint work with Guido Imbens, Stefan Wager. References outside CS literature. Imbens and Rubin Causal Inference book (2015): synthesis of literature prior to big data/ML. Warm up. Share your picture with the people at your table group.. Make sure you have your Science notebook, agenda and a sharpened pencil. use tape to put it in front of your table of contents. Describe the difference between observations and inferences. Tao,. Carole Wilson, Meg Robertson & Laura Bozeman. Indoor Navigation for the . Visually Impaired. PERCEPT Workshop Presentation Flow. Introduction. What is PERCEPT?. Overview of PERCEPT Trials and Results. Rahul Sharma and Alex Aiken (Stanford University). 1. Randomized Search. x. = . i. ;. y = j;. while . y!=0 . do. . x = x-1;. . y = y-1;. if( . i. ==j ). assert x==0. No!. Yes!. . 2. Invariants. Homero Martinez and Jose Juarez. History. IBM Simon, 1993. mobile phone, calendar, address book, world clock, calculator, note pad, e-mail client, . send/receive fax. , and games . no physical buttons,. Les Cottrell . – . SLAC. University of . Helwan. / Egypt, Sept 18 – Oct 3, 2010. Partially funded by DOE/MICS Field Work Proposal on Internet End-to-end Performance Monitoring (IEPM), also supported by IUPAP. Les Cottrell . – . SLAC. Ecole. SIG at . nouvelles. . Technologies . en Democratic Republic Congo, 12-17 . Septembre. , . Organisee. par . l’Universite. de Kinshasa. Partially funded by DOE/MICS Field Work Proposal on Internet End-to-end Performance Monitoring (IEPM), also supported by IUPAP.
Download Document
Here is the link to download the presentation.
"Human Activity Inference on Smartphones Using"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.
Related Documents