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SUNMONTUEWEDTHUFRISAT
Events for September 21, 2010
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On Campus Freshmen Admission Interviews continue...
Tue, Sep 21, 2010
Viterbi School of Engineering Undergraduate Admission
Receptions & Special Events
Personal Admission Interviews are available to freshmen applicants throughout the Fall practically every weekday until December 10, 2011. Freshman applicant interviews are not required as part of the admission process, however we would like to meet as many of our applicants as possible. All interview appointments are scheduled online.http://viterbi.usc.edu/admission/freshman/interviews/
Audiences: Freshmen Applicants for Fall 2011
Contact: Viterbi Admission
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Photography for Aircraft Accident Investigation (PHOTO)
Tue, Sep 21, 2010 @ 08:00 AM - 04:00 PM
Aviation Safety and Security Program
University Calendar
This specialized course in accident investigation is designed to assist the investigator to improve photographic documentation of an accident site.
Location: Aviation Safety & Security Campus
Audiences: Aviation Professionals
Contact: Harrison Wolf
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Rio Hondo Transfer Fair
Tue, Sep 21, 2010 @ 10:00 AM - 01:00 PM
Viterbi School of Engineering Undergraduate Admission
Receptions & Special Events
Viterbi Transfer Admission Counselor, Christine Hsieh from the USC Viterbi Office of Admission, will be attending the Rio Hondo Transfer Fair. Please stop by the USC Viterbi table to learn how you can get started on your engineering courses at your current institution and more about the admission process.
Location: Rio Hondo Campus
Audiences: Undergraduate Transfer Applicants
Contact: Viterbi Undergraduate Admission
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CS Colloquium
Tue, Sep 21, 2010 @ 03:30 PM - 05:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Prof. Gert Lankriet, UCSD
Talk Title: Multimodal Music Search and Discovery
Abstract: The revolution in production and distribution of music, which has made millions of audio clips instantly available to millions of people, has created the need for novel music search and discovery technologies.
While successful technologies with great societal impact exist for text-based document search (e.g., Yahoo!, Google, etc.), a Google for Music has yet to stand up: there is no easy way to find a mellow Beatles song on a nostalgic night, scary Halloween music on October 31st, or address a sudden desire for romantic jazz with saxophone and deep male vocals without knowing an appropriate artist or song title.
The non-text-based, multimodal character of Internet-wide information about music (audio clips, lyrics, web documents, artist networks, band images, etc.) poses a new and difficult challenge to existing database technology, due to its dependence on unimodal, text-based data structures. Two fundamental research questions are at the core of addressing this challenge: 1) The automated indexing of non-text based music content and 2) the automated integration of the heterogeneous content of multimodal music databases, to retrieve the most relevant information, given a query.
In this talk, I will outline some of my recent research in machine learning, statistics and optimization, inspired and driven by the previous two research questions in the emerging field of computer audition and music information retrieval. This will cover a spectrum from sparse generalized eigenvalue problems to human computation games, and from clustering graphical models to multiple-kernel partial order embeddings.
Biography: Gert Lanckriet received a Master's degree in Electrical Engineering from the Katholieke Universiteit Leuven, Leuven, Belgium, in 2000 and the M.S. and Ph.D. degrees in Electrical Engineering and Computer Science from the University of California, Berkeley in 2001 respectively 2005. In 2005, he joined the Department of Electrical and Computer Engineering at the University of California, San Diego, where he heads the Computer Audition Laboratory. He was awarded the SIAM Optimization Prize in 2008 and is the recipient of a Hellman Fellowship and an IBM Faculty Award. His research focuses on the interplay of convex optimization, machine learning and applied statistics, with applications in computer audition and music information retrieval.
Host: Prof. Fei Sha
Location: Seaver Science Library (SSL) - 150
Audiences: Everyone Is Invited
Contact: Mary Francis
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CS Colloquium
Tue, Sep 21, 2010 @ 03:30 PM - 05:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Prof. Gert Lankriet , UCSD
Talk Title: Multimodal Music Search and Discovery
Abstract: The revolution in production and distribution of music, which has made millions of audio clips instantly available to millions of people, has created the need for novel music search and discovery technologies.
While successful technologies with great societal impact exist for text-based document search (e.g., Yahoo!, Google, etc.), a Google for Music has yet to stand up: there is no easy way to find a mellow Beatles song on a nostalgic night, scary Halloween music on October 31st, or address a sudden desire for romantic jazz with saxophone and deep male vocals without knowing an appropriate artist or song title.
The non-text-based, multimodal character of Internet-wide information about music (audio clips, lyrics, web documents, artist networks, band images, etc.) poses a new and difficult challenge to existing database technology, due to its dependence on unimodal, text-based data structures. Two fundamental research questions are at the core of addressing this challenge: 1) The automated indexing of non-text based music content and 2) the automated integration of the heterogeneous content of multimodal music databases, to retrieve the most relevant information, given a query.
In this talk, I will outline some of my recent research in machine learning, statistics and optimization, inspired and driven by the previous two research questions in the emerging field of computer audition and music information retrieval. This will cover a spectrum from sparse generalized eigenvalue problems to human computation games, and from clustering graphical models to multiple-kernel partial order embeddings.
Biography: Gert Lanckriet received a Master's degree in Electrical Engineering from the Katholieke Universiteit Leuven, Leuven, Belgium, in 2000 and the M.S. and Ph.D. degrees in Electrical Engineering and Computer Science from the University of California, Berkeley in 2001 respectively 2005. In 2005, he joined the Department of Electrical and Computer Engineering at the University of California, San Diego, where he heads the Computer Audition Laboratory. He was awarded the SIAM Optimization Prize in 2008 and is the recipient of a Hellman Fellowship and an IBM Faculty Award. His research focuses on the interplay of convex optimization, machine learning and applied statistics, with applications in computer audition and music information retrieval.
Host: Prof. Fei Sha
Location: Seaver Science Library (SSL) - 150
Audiences: Everyone Is Invited
Contact: Kanak Agrawal
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Boston Consulting Information Session
Tue, Sep 21, 2010 @ 06:00 PM - 08:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Join representatives of this company as they share general company information and available opportunities.
Location: Grace Ford Salvatori Hall Of Letters, Arts & Sciences (GFS) - 106
Audiences: All Viterbi Students
Contact: RTH 218 Viterbi Career Services
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SWE Info Session with Hitachi Consulting
Tue, Sep 21, 2010 @ 07:00 PM - 08:00 PM
Viterbi School of Engineering Student Organizations
Student Activity
Is your future within the exciting industry of engineering consulting?
Come hear about the projects and possibilities of Hitachi Consulting, one of the companies in partnership with the Viterbi School of Engineering. Are you unsure about what a consulting job entails or the other opportunities through this branch of industry? This session will give you more information about careers in that field. Also, Hitachi's representatives will give you an idea of the role of women and other diversities within the company and support available to them. If you are new to the job hunting process, come practice your networking skills. Also, juniors and seniors don't miss this great opportunity to present your skill set to a potential employer! Also enjoy FREE hors d'oeuvres and the company of your SWE peers.
Hope to see you there!Location: Kaprielian Hall (KAP) - 156
Audiences: Everyone Is Invited
Contact: Society of Women Engineers
