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Lisp programming seminar for Autumn – biomedical informatics

Contact Professor Kalet if you’re interested.

———- Forwarded message ———-
From: Ira Kalet <ikalet@uw.edu>
Date: Wed, Jul 27, 2011 at 11:49 AM
Subject: Lisp programming seminar for Autumn

Hi Crystal and Lindsay,

I am running a one credit seminar this Autumn in Biomedical Informatics, on the topic of advanced Lisp programming, which may interest a few CSE students.  Both graduate and undergraduate students are welcome.  If it works better for a student to sign up for CSE independent study instead of MEBI 591 that is OK with me.  Here is a rough description:

I will be leading a study group or advanced seminar on LISP and applications in biomedical informatics.  The plan will be that we learn and discuss some really advanced programming topics, like meta-programming, programming with functions, macros, and the like. This is for people who would like to delve deeper into programming ideas and potential applications, not about how to do well known tasks in bioinformatics and the like.  We will meet once a week on Tuesdays, 11 AM to 11:50, and participation would result in one credit (details to be determined).  Although familiarity with the basics of LISP would be expected, people who are new to LISP and willing to learn fast are also welcome.  The emphasis will be on learning exotic stuff and having some fun with programming.

Thanks, and hope you are having a great summer.

Ira


Ira J. Kalet, Ph.D.
Professor Emeritus, Radiation Oncology, joint with Medical Education
and Biomedical Informatics

Email: ikalet@uw.edu
Web: http://faculty.washington.edu/ikalet/
———————–

September 26, 2011

We need mentors for our new CSE students! Please sign up, event is Thurs Sept. 29th 430pm

If you have been in the department as a major for at least one quarter and have time on Thursday Sept. 29th  from 430-600 to serve as a mentor for a new CSE ugrad, please sign up on the catalyst survey. Food is included!

https://catalysttools.washington.edu/webq/survey/cseadv/61361

Please sign up soon. If you sign up, plan on attending, but we’ll try to send a follow up by noon on Wed. with a few more details.

Thank you,

CSE Advising

September 23, 2011

Capstone Montage video from 2010-2011

Some of you might want to take a look at the Capstone video from 2010-2011.  We highly encourage you to consider a capstone if you’re nearing completion of your 300 level courses.  Most capstones will have some space in them later this year, including the robotics capstone this fall that still has room.

Capstone Video:   http://www.cs.washington.edu/info/videos/

September 20, 2011

Incredible news!!

Sent Monday evening:

There is incredibly exciting news this evening — our own Shwetak Patel has just been named as a 2011 MacArthur Fellow  —  a recipient of a MacArthur “Genius Award”!     This is an enormous honor and fabulous recognition of Shwetak’s accomplishments.

Congratulations Shwetak!!

Shwetak joins Yoky Matsuoka as CSE’s second MacArthur Fellow in five years — a remarkable record.

The official MacArthur information is here:

http://www.macfound.org/site/c.lkLXJ8MQKrH/b.7730995/k.96C7/Shwetak_Patel.htm

Hank
_________

September 20, 2011

F15 Upgrade: Instructional File/Mail server tanaga and attu 9/14 10AM-6PM

———- Forwarded message ———-
From: John R. Petersen <jrp@cs.washington.edu>
Date: Mon, Sep 12, 2011 at 8:55 PM
Subject: Re: [cs-ugrads] [wreq #170414] F15 Upgrade: Instructional File/Mail server tanaga and attu 9/14 10AM-6PM
To: faculty@cs.washington.edu, cs-ugrads@cs.washington.edu, cs-pmp@cs.washington.edu

Request #170414 was updated by jrp:

On Wednesday September 14th, from 10 AM to 6 PM, the Instructional file server tanaga, and attu will be transitioned to the CSE 64-bit Fedora 15 distribution.  Instructional home directories, /cse/courses and most /projects/instr directories will be offline during the upgrade process.

Quick Links:
Fedora 15 Lab information: http://www.cs.washington.edu/lab/sw/f15.shtml

Linux Upgrade calendar: http://www.google.com/calendar/hosted/cs.washington.edu/embed?src=cs.washington.edu_sua4p69sp50f098ojaa5cal928%40group.calendar.google.com&ctz=America/Los_Angeles&pvttk=fc94360bd17a90841d7a9cc3a779b697

Please use the Reply-to: address if replying via email.

To see the Original Request and Action Log click on:

http://rtfm.cs.washington.edu/cgi-bin/wreq/req?show-all-1-170414
_______________________________________________

September 14, 2011

Ugrad labs in CSE closed until start of fall

Most of the ugrad labs will be closed for a deep clean until the start of fall quarter. Just a heads up in case you were planning to stop by. At most, we’ll have one lab open at a time, but that cannot be guaranteed.

September 13, 2011

Anyone interested in starting their own company – mark your calendars for Sept.

— Forwarded message ———-
From: Pamela Tufts <ptufts@uw.edu>
Date: Mon, Jul 11, 2011 at 2:40 PM
Subject: [Advisers] Center for Innovation and Entrepreneurship – OPEN HOUSES Next Week!
To: “advisers@uw.edu” <advisers@uw.edu>

Pam Tufts, Assistant Director

UW Center for Innovation & Entrepreneurship
Michael G. Foster School of Business

Manager, Lavin Entrepreneurial Program

ptufts@uw.edu  206.685.3813, Lewis Hall 328

 

 

 

 

Want to run your own company some day? Interested in entrepreneurship?

Check out the Lavin Program – open to all incoming UW students regardless of major. Apply online mid-August:   http://www.foster.washington.edu/centers/cie/Pages/lavin.aspx

The UW Center for Innovation and Entrepreneurship (CIE) combines curriculum with hands-on learning to give undergraduates the experience, skills, and know-how that will be a foundation for future business ventures—whether at a start-up or a larger established firm.

 

To find out more about CIE Undergraduate Programs, including the accelerated Lavin Program for serious entrepreneurs, attend one of the CIE Open Houses.  Parents are welcome!  RSVPs are nice, but if plans change at the last minute, come anyway!

 

Wednesdays 5:00-6:00, July 20 and September 21

Fridays Noon-1:00, July 22 and September 23

 

RSVP Link: https://catalyst.uw.edu/webq/survey/uwcie/137616

 

Questions?  Pam Tufts, ptufts@uw.edu

Check our website:  http://www.foster.washington.edu/centers/cie/Pages/cie.aspx

Follow us on Facebook:
UW Lavin Program

 


August 23, 2011

Research Seminar: Suvrit Sra, Max Planck Institute, Tuebingen, 8/25 11am-12noon, PAC AE108

Ugrads invited too.

———- Forwarded message ———-
From: Jeff Bilmes <bilmes@ee.washington.edu>
Date: Mon, Aug 22, 2011 at 4:10 PM
Subject: [cs-ugrads] [Speech-seminar] Research Seminar: Suvrit Sra, Max Planck Institute, Tuebingen, 8/25 11am-12noon, PAC AE108
To: speech-seminar@crow.ee.washington.edu, uw-ml@cs.washington.edu

Title: Positive definite matrices and the SS-Divergence

Max Planck Institute for Intelligent Systems,
Tuebingen, Germany

Thursday, August 25th, 11:00am-12:00noon
PAC (Paul Allen Center) AE108

We encounter kernels, Laplacians, covariances, and other positive
definite (PD) matrices in a dazzling variety of applications.  This
ubiquity of PD matrices can be attributed in part to their rich
geometric structure: they form a differentiable Riemannian
manifold. But exploiting this manifold structure is nontrivial, as
even basic tasks such as intermatrix distance computation are
complicated. To partially address these concerns, we propose a new
distance-like measure: the Symmetric-Burg (SB)-Divergence; this
measure not only mirrors several key properties of the Riemannian
distance but also simplifies computation. I substantiate the above
claims by showing theoretical and practical results extracted from my
recent (and ongoing) work.

To offer motivation beyond the intrinsic geometric beauty of PD
matrices, I highlight an application where the SS-Divergence allows us
to develop an efficient method for covariance-based image retrieval.
A substep of our algorithm depends on certain nonlinear matrix
equations, for solving which I present a method that may be of
independent interest.

August 23, 2011

Twitter Calendar

———- Forwarded message ———-
From: Alan Ritter <aritter@cs.washington.edu>
Date: Mon, Aug 22, 2011 at 10:30 AM
Subject: Twitter Calendar
To: cs-grads@cs.washington.edu, faculty@cs.washington.edu, cs-ugrads@cs.washington.edu, cs-staff@cs.washington.edu
Cc: Oren Etzioni <etzioni@cs.washington.edu>

Hi All,
We have been working on automatically extracting a calendar of upcoming events from Twitter status messages, and have a prototype system available here:
http://statuscalendar.com/
You can click on the individual calendar entries to drill down and get more details.

A couple of details about what is happening here:

-We are continuously gathering a random sample of Tweets.

-We extract Named Entities (people, locations, products, movies, etc…) from the Text of the tweets.

-We extract and resolve temporal expressions (for example, we can figure out which calendar day “Next Friday” refers to based on the timestamp of the Tweet).

-We count the number of times each entity co-occurs with a reference to each date, and plot the highest-ranking entities on the calendar.

The idea is to provide a summary of the most popular/important events occurring in the near future.  For example you can see many people are talking about the rumored iphone 5 announcement on September 7th.

Of course there are a few errors here and there, some text processing tasks are more difficult in Twitter text due to it’s noisiness (misspellings/abbreviations, unreliable capitalization, etc…).
Anyway, if you have time for a quick look, we would love to get any comments or suggestions for improvement that you might have.
Thanks!
-Alan

August 22, 2011

Speech-seminar] Research Seminar Speech Recognition: Karen Livescu, TTI-Chicago, 8/25 3-4pm, PAC AE108

From: Jeff Bilmes <bilmes@ee.washington.edu>

Date: Fri, Aug 19, 2011 at 12:25 AM
Subject: [cs-ugrads] [Speech-seminar] Research Seminar Speech Recognition: Karen Livescu, TTI-Chicago, 8/25 3-4pm, PAC AE108
To: speech-seminar@crow.ee.washington.edu

Multi-view Learning of Speech Feature Spaces

Karen Livescu
TTI-Chicago

Thursday, August 25th, 3:00-4:00pm
PAC (Paul Allen Center) AE108

Many learning tasks (classification, regression, clustering) can be
improved when multiple views of the data are available.  The meaning
of “views” may be a natural one like audio vs. images vs. text, or
more abstract like arbitrary subsets of the observation vector.
Multi-view learning algorithms, such as co-training, take advantage of
the relationships between the views.  In this work, we explore
two-view learning of feature spaces for speech processing tasks.
Given two views of the training data, we learn a transformation of
each view that, in some sense, best predicts the other view.  We can
then apply the learned transformations even when only one view (e.g.
audio) is available at test time.  For this talk, I will focus on work
using canonical correlation analysis (CCA), in which a linear
projection of each view is learned, such that the two views’
projections are maximally correlated.  I will describe experiments on
clustering tasks, speaker identification, and phonetic classification.
Time permitting, I will describe additional ongoing work in speech and
language at TTI-Chicago

_______________________________________________

 

August 19, 2011

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