LCI Forum
What and Why?
The LCI Forum is our biweekly meeting, at which we discuss LCI matters
and group related issues, share AI and other news, and give brief reports 
from trips and conferences. An integral part of each LCI Forum is a research talk,
given by LCI members, associate members, or visitors.
Rumor has it, though, that real reason behind their popularity is the food.
The LCI Fora provide a great opportunity for meeting other members of the lab,
hearing about interesting developments, and finally finding out what the person 
working at the next desk is really working on ;-) The talks are also great 
opportunities to practice for conference presentations. Standard LCI Forum 
talks are 20min with about 10min for questions and discussion.
When and Where?
LCI Fora run biweekly throughout the academic year and during most of the summer 
(with the exception of August, where only one forum per month is scheduled). For 
winter term 2005, the location is subject to change because of the move to our 
new building; the default location is the CS boardroom on the 7th floor of the 
CS2 building.
2004/2005 Season:
	
		
	
	
		| Sept. 17 | Beginning of year forum: no talk. | 
	
		| Oct. 1 | Robert St. Aubin,
		Probabilistic Constraint Nets | 
	
		| Oct. 15 | Hendrik Kueck,
		Bayesian Formulations of Multiple Instance 
		Learning with Applications to General Object Recognition | 
	
		| Oct. 29 | Dinesh Pai,
		Human Sensori-Motor Computation | 
	
		| Nov. 12 | Frank Hutter, 
		Stochastic Local Search for Solving the 
		Most Probable Explanation Problem in Probabilistic Graphical Models, plus a pitch from 
		John and Guy about the DARPA Grand Challenge.
 | 
	
		| Nov. 26 | Ivar Ekeland,
		Are People Rational? | 
	
		| Dec. 10 | Scott Helmer,
		Object Recognition with Many Local Features | 
	
		| Jan 17 | Fei Xu, 
		Words, Concepts, and Object Individuation in Infancy | 
	
		| Jan 31 | Gustavo Carneiro, Image Pattern 
		Recognition Using Phase-based Local Features and Their Flexible Spatial 
		Configuration  12:00 - 1:00 in the LCI lab | 
	
		| Feb 7 | Eric Cope, 
		
		Regret and Convergence Bounds for Continuum-Armed 
		Bandits. 12:00 - 1:00 in the LCI lab | 
	
		| Feb 28 | Mike Klaas, 
		Fast Methods in Machine Learning  
		
		12:15 - 1:15 in the LCI lab | 
	
		| Mar 14 | Oliver Schulte, 
		Learning Conservation Principles in Particle 
		Physics  12:00 - 1:00 in the LCI lab | 
	
		| Mar 28 | Holiday: no forum | 
	
		| Apr 11 | Firas Hamze,
		Sequential Monte Carlo for Undirected Models 
		12:00 - 1:00 in Macmillan 350 (Boardroom), 2357 
		Main Mall (across from CS) | 
	
		| Apr 25 | Jordan Reynolds, 
		Object Detection 
		and the Pascal Challenge  12:00 - 1:00 in 
		CS Boardroom | 
	
		| May 9 | Adam Pauls, 
		Integrating Multiple Cues in Unsupervised Grammar Induction  12:00 - 1:00 in 
		CS Boardroom | 
	
		| May 23 | Christina Merten,
		Exploring Eye Tracking to Increase Bandwidth in 
		User Modeling   
		 
		12:00 - 1:00 in 
		CS Boardroom | 
	
		| June 6 | Leif Chang, 
		Generalized Constraint-Based Inference  12:00 - 1:00 in 
		CS Boardroom | 
	
		| June 20 | Rita Sharma,
		Probabilistic Reasoning with Hierarchically 
		Structured Variables   12:00 - 1:00 in 
		CS Boardroom | 
	
		| July 4 | Kasia Muldner,
		Using Similarity to Infer Meta-Cognitive 
		Behaviors During Analogical Problem Solving | 
	
		| July 18 | No talk. | 
See schedules and abstracts from previous LCI Fora:
(LCI Fora were held for years, if not decades, before April 2001 when we started
listing them on the web.)
Frequently Asked Questions
- How do I get an LCI Forum talk scheduled?
Contact Kevin Leyton-Brown and ask for a free slot.
Even if you want to present earlier than a free slot is available,
sometimes it is possible to swap with somebody currently holding an
earlier slot.
 
- How long should my LCI Forum talk be?
Standard talks should be 20min (which leaves about 10min for questions
and discussion). It is possible to schedule longer talks,
but this needs to be decided on a case-by-case basis.
- How can I receive emails about LCI Forum announcements?  See the 
following web page.
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