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[nl-uiuc] (Reminder) Upcoming talk at the AIIS seminar


Chronological Thread 
  • From: Ming-Wei Chang <mchang21 AT uiuc.edu>
  • To: nl-uiuc AT cs.uiuc.edu, aivr AT cs.uiuc.edu, dais AT cs.uiuc.edu, cogcomp AT cs.uiuc.edu, vision AT cs.uiuc.edu, krr-group AT cs.uiuc.edu, aiis AT cs.uiuc.edu
  • Subject: [nl-uiuc] (Reminder) Upcoming talk at the AIIS seminar
  • Date: Thu, 16 Apr 2009 14:16:24 -0500
  • List-archive: <http://lists.cs.uiuc.edu/pipermail/nl-uiuc>
  • List-id: Natural language research announcements <nl-uiuc.cs.uiuc.edu>


Dear faculty and students,

This is a reminder for the talk by Dr. Tsvi Achler at 4:00pm
today in the room 3405. Hope to see you there!

Best,

Ming-Wei

Ming-Wei Chang
<mchang21 AT uiuc.edu>
writes:

> Dear faculty and students,
>
> A postdoc of our department, Tsvi Achler, will give a talk
> (details below) for the AIIS seminar at 4:00 pm, Apr 16th (this
> Thursday). The room number is 3405. Hope to see you there!
>
> Best,
>
> Ming-Wei
>
> Title:
> Making Sense of Simultaneous Patterns.
>
> Abstract:
>
> The ability to look beyond what is learned and apply the learned
> information to new scenarios often distinguishes animals from computer
> artifacts. An important component of this ability is recognizing
> novel combinations of previously learned patterns, which typically
> form scenes. While animals can quickly evaluate scenes, artificial
> methods require segmenting and analyzing patterns one by one.
> Segmentation, however, is not trivial or often even possible. Thus
> artificial methods show impoverished performance disambiguating
> patterns composed of simultaneous components such as scenes, cocktail
> party conversations, and odorants in a mixture. A new type of
> multiclass classifier motivated by neuroscience is presented that
> better differentiates simultaneous patterns. It utilizes a gain
> control mechanism where each piece of information is evaluated by its
> contribution to the network. Based on evaluation of contribution, the
> value of information is re-adjusted until the network determines its
> solutions. It allows more efficient processing of novel combinations
> of previously learned patterns and can benefit AI applications where
> simultaneous processes may occur at the same time.
>
> Bio:
> Tsvi Achler studies recognition processing applications from a
> multidisciplinary
> perspective leaving no stone unturned. He received bachelor degrees from UC
> Berkeley in Electrical Engineering & Computer Science. His advanced
> degrees are from
> University of Illinois at Urbana-Champaign in Neuroscience, Medicine,
> and is currently a postdoc in Computer Science. Throughout his
> career he refined his views and models relating to understanding of
> biological computation. This approach puts him in a unique position to
> design computational artifacts and integrating biological constraints.
> _______________________________________________
> vision mailing list
> vision AT cs.uiuc.edu
> http://lists.cs.uiuc.edu/mailman/listinfo/vision




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