Auto-reminder: Upcoming CS Event(s): Weekly Digest

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Apr 22, 2011, 6:03:00 PM4/22/11
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/*Event*/
Google Street View: Image Acquisition and Computer Vision at Global Scale by Dr. Luc Vincent, Director of Engineering, Google Inc.

/*Time and Date*/
12:00:00 PM on 4/26/2011

/*Location*/
EEB 248

/*Details*/
Speaker: Dr. Luc Vincent, Director of Engineering, Google Inc.
Host: Prof. Cyrus Shahabi, USC

Abstract:
Unveiled in May 2007, the Street View feature of Google Maps is the
result of a substantial engineering effort by a team including
software engineers, mechanical engineers, UI designers, computer
vision scientists, operations experts, and scores of others. The
initial vision for Street View was provided by Google co-founder Larry
Page, who personally collected street scene videos f...read more at event URL-
http://www.cs.usc.edu/calendar/csevent.asp?Event_ID=1221
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/*Event*/
Agent-oriented modelling by Prof. Kuldar Taveter

/*Time and Date*/
3:30:00 PM on 4/26/2011

/*Location*/
SSL 150

/*Details*/
Speaker: Kuldar Taveter, Professor and Chair, Tallinn University of Technology, Estonia
Host: Prof. Milind Tambe, USC

Abstract:

Agent-oriented modelling is a holistic approach for engineering socio-technical systems. It proposes a set of canonical models that are categorized according to three vertical abstraction layers - analysis, design, and platform-specific design - and three horizontal perspectives: interaction, information, and behaviour. In my presentation, I explain how agent-o...read more at event URL-
http://www.cs.usc.edu/calendar/csevent.asp?Event_ID=1210
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/*Event*/
Leftover Hash Lemma, Revisited by Prof. Yevgeniy Dodis, NYU

/*Time and Date*/
3:30:00 PM on 4/27/2011

/*Location*/
GFS 118

/*Details*/
Speaker: Prof. Yevgeniy Dodis, NYU
Host: Prof. David Kempe

Abstract:
The famous Leftover Hash Lemma (LHL) states that (almost) universal hash functions are good randomness extractors. Despite its numerous applications, LHL-based extractors suffer from the following two drawbacks:

(1) Large Entropy Loss: to extract v bits from distribution X of min-entropy m which are e-close to uniform, one must set v <= m - 2*log(1/e), meaning that the entropy loss L = m-v >= 2*log(1/e).
(2) Large Seed...read more at event URL-
http://www.cs.usc.edu/calendar/csevent.asp?Event_ID=1231
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/*Event*/
Open universes and nuclear weapons By Prof. Stuart Russell

/*Time and Date*/
3:30:00 PM on 4/28/2011

/*Location*/
SSL 150

/*Details*/
Speaker: Prof. Stuart Russell, University of California, Berkeley
Host: Prof. Fei Sha, USC

Abstract:

I will discuss a formal unification of probability theory and full (open-universe) first-order logic that allows for uncertain reasoning about unknown objects and events within a general-purpose formal language. Applications range from citation information extraction to monitoring ompliance with the Comprehensive Nuclear-Test-Ban Treaty. The second half of the talk will describe the lat...read more at event URL-
http://www.cs.usc.edu/calendar/csevent.asp?Event_ID=1199
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