AFLB

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(Sep 16)
(Fall 2010)
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=== Sep 23 ===
=== Sep 23 ===
* Parasaran will talk about spatially-aware meta-clustering
* Parasaran will talk about spatially-aware meta-clustering
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=== Sep 30 ===
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* Jeff will give a talk on the following joint work with Pankaj Agarwal and Hai Yu.
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Stability or ε-Kernels.
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Given a point set P of n points in R^d, an ε-kernel K ⊆ P is a coreset of P that approximates the convex hull of P.  As a result, it has been found very useful in the past 10 years for many geometric approximation problems. 
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In this talk I will discuss the stability of ε-kernels in two senses. 
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The dynamic stability shows how to maintain the ε-kernel as points are inserted and removed from P.  We show how to efficiently maintain K with a constant number of changes for each point added or removed from P. 
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The approximation stability studies how the size of K can change as ε changes.  This reveals structure about the optimal shape of K and how stabile it is in different dimension.  In summary, our results show that K is stable for d=2,3, but for higher dimensions it can be quite unstable with respect to changes in ε. 
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[http://www.cs.utah.edu/~jeffp/papers/arXiv1003.5874v1+.pdf Stability of eps-Kernels]
== Papers for discussion ==
== Papers for discussion ==

Revision as of 22:10, 29 September 2010

The Algorithms For Lunch Bunch

Thu @ Noon (starting Aug 26, 2010)

Venue: the graphics annex

Contents

Fall 2010

Aug 26

Suresh will talk about the recent P vs NP kerfuffle, along with some background on the problem.

Sep 2

We have a double bill:

  • Avishek will talk about adaptive methods for multi-task learning (abstract) (paper)
  • Suresh will talk about information-theoretic repair for databases violating integrity constraints

Sep 9

  • Rasmus will talk about JL on the sphere and the simplex

Sep 16

  • Qiushi will talk about recent work on implementations of the Johnson-Lindenstrauss Transform

Sep 23

  • Parasaran will talk about spatially-aware meta-clustering

Sep 30

  • Jeff will give a talk on the following joint work with Pankaj Agarwal and Hai Yu.

Stability or ε-Kernels.

Given a point set P of n points in R^d, an ε-kernel K ⊆ P is a coreset of P that approximates the convex hull of P. As a result, it has been found very useful in the past 10 years for many geometric approximation problems. In this talk I will discuss the stability of ε-kernels in two senses. The dynamic stability shows how to maintain the ε-kernel as points are inserted and removed from P. We show how to efficiently maintain K with a constant number of changes for each point added or removed from P. The approximation stability studies how the size of K can change as ε changes. This reveals structure about the optimal shape of K and how stabile it is in different dimension. In summary, our results show that K is stable for d=2,3, but for higher dimensions it can be quite unstable with respect to changes in ε.

Stability of eps-Kernels

Papers for discussion

Previous Semesters

Contact

If you are interested in giving a talk at AFLB or have questions, please feel free to send a mail to moeller@cs.utah.edu, praman@cs.utah.edu or avishek@cs.utah.edu. If you are planning to give a talk, we would really appreciate if you have an abstract ready a week before the talk is scheduled.

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