In this talk we will consider the problem of estimating the heights of all the users in a photo collection, such as a collection of photos from a social network. The main idea is to estimate the height differences among people standing in the photos, and then use these height difference estimates, as well as an a priori distribution, to estimate the heights of all the people in the photos. Intuitively, the approach will improve as the number of photos in the collection increases, since height-difference estimation errors should be averaged out.

 In this talk we will also briefly describe some of our other recent projects involving social networks.

 

 Keith Ross is the Vice Dean of Business and Engineering at NYU Shanghai and the Leonard J. Shustek Distinguished Professor in the Department of Computer Science and Engineering at NYU. From 2009-2013 he was Head of the Department of Computer Science and Engineering at the NYU Polytechnic Institute.

 Professor Ross is an ACM Fellow, IEEE Fellow, recipient of the Infocom 2009 Best Paper Award, and recipient of  2008 and the 2011 Best Paper Awards for Multimedia Communications (awarded by IEEE Communications Society).  His recent privacy work has been featured in the New York Times, NPR, and Bloomberg Television.

 Professor Ross is co-author (with James F. Kurose) of the popular textbook, Computer Networking: A Top-Down Approach Featuring the Internet, published by Addison-Wesley (first edition in 2000, sixth edition 2012). It is the most popular textbook on computer networking, and has been translated into fourteen languages. Keith Ross is also the founder and first CEO of the multimedia online learning company Wimba, which was acquired by Blackboard in 2011.