<html><head><meta http-equiv="Content-Type" content="text/html charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; ">This is a kind of interesting talk. Go if you have time.<div><br></div><div>Kenny<br><div><br><div>Begin forwarded message:</div><br class="Apple-interchange-newline"><blockquote type="cite"><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px;"><span style="font-family:'Helvetica'; font-size:medium; color:rgba(0, 0, 0, 1.0);"><b>From: </b></span><span style="font-family:'Helvetica'; font-size:medium;">zhu-hj <<a href="mailto:zhu-hj@cs.sjtu.edu.cn">zhu-hj@cs.sjtu.edu.cn</a>><br></span></div><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px;"><span style="font-family:'Helvetica'; font-size:medium; color:rgba(0, 0, 0, 1.0);"><b>Subject: </b></span><span style="font-family:'Helvetica'; font-size:medium;"><b>欢迎参加Prof. Keith Ross的学术报告会</b><br></span></div><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px;"><span style="font-family:'Helvetica'; font-size:medium; color:rgba(0, 0, 0, 1.0);"><b>Date: </b></span><span style="font-family:'Helvetica'; font-size:medium;">December 17, 2013 8:17:52 PM GMT+08:00<br></span></div><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px;"><span style="font-family:'Helvetica'; font-size:medium; color:rgba(0, 0, 0, 1.0);"><b>To: </b></span><span style="font-family:'Helvetica'; font-size:medium;"><<a href="mailto:all@cs.sjtu.edu.cn">all@cs.sjtu.edu.cn</a>><br></span></div><br><div>各位老师：<br><br>大家好！<br>ACM Fellow, 纽约大学上海分校Vice Dean, Keith Ross教授，明天会访问我系，并做以下报告：<br><br>题目: Estimating Heights from Photo Collections: A Big Data Approach<br><br>时间: 12月18号，周三，10 am<br><br>地点：电信群楼3号楼410<br><br>欢迎您及您的学生参加学术报告，也请您将这个信息发送给您的学生，多谢！<br><br>浩瑾<br><br>Abstract:<br><br>A photo can potentially reveal a tremendous amount of information about an individual, including the individual's height, weight, gender, ethnicity, hair color, skin condition, interests, and wealth. On one hand, such information can be used to provide highly targeted ads to online users; on the other hand, it could be viewed as a privacy intrusion.<br><br>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.<br><br>In this talk we will also briefly describe some of our other recent projects involving social networks.<br><br>Bio:<br><br><br>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.<br>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.<br>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.<br><br><br><br><br></div></blockquote></div><br></div></body></html>