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Conferences, Lectures, & Seminars
Events for July
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Short Course: Six Sigma Green Belt for Process ImprovementTue, Jul 07, 2015
DEN@Viterbi, Executive Education
Conferences, Lectures, & Seminars
Abstract: Learn how to integrate principles of business, statistics and engineering to achieve tangible results. Master the use of Six Sigma to quantify the critical quality issues in your company. Once the issues have been quantified, statistics can be applied to provide probabilities of success and failure. Six Sigma methods increase productivity and enhance quality. As a Six Sigma green belt, you will be equipped to support and champion a Six Sigma implementation in your organization. To earn the Six Sigma Green Belt Certificate, you will be required to pass the Institute of Industrial Engineer's green belt exam (administered on the final day of the course).
This course is available on-campus and online.
More Info: http://gapp.usc.edu/professional-programs/short-courses/industrial-systems/six-sigma-green-belt-process-improvement
Audiences: Registered Attendees
Contact: Viterbi Professional Programs
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4D Blood Flow in the Human Heart: Optimal Vortex Ring Formation and Validation Challenges
Tue, Jul 07, 2015 @ 10:30 AM - 11:30 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Johannes Töger, Lund University
Talk Title: 4D Blood Flow in the Human Heart: Optimal Vortex Ring Formation and Validation Challenges
Series: Medical Imaging Seminar Series
Abstract: Diastolic dysfunction, i.e. dysfunction of the filling mechanisms of the left ventricle (LV) of the heart, is a disease with poor prognosis even in its mild form [1] and new measures of diastolic dysfunction may improve patient care. During the early phase of diastole (filling) of the human heart, a vortex ring forms in the left ventricle (LV) downstream from the mitral valve [2, 3]. Features of the vortex ring has been shown to reflect overall cardiac function [3, 4] and may therefore give new insights into the pathophysiology of diastole.
The full three-dimensional dynamics of the vortex ring can be imaged using 4D flow magnetic resonance imaging and mathematical post-processing by Lagrangian Coherent Structures (LCS), a flow analysis tool based on the theory of nonlinear dynamical systems (Figure 1). Furthermore, we have constructed a flow phantom for validation of 4D flow measurements of pulsatile flow (Figure 2) using particle imaging velocimetry (PIV) and planar laser-induced fluorescence (PLIF), meeting the formidable design challenge of producing a pulsatile, physiological, fully three-dimensional and highly repeatable experiment [5].
In vivo studies, healthy volunteers (n=23) and patients with heart failure (n=23) [6, 7] show that the healthy heart displays a matching between the volume of the vortex ring and the volume of the LV that is lost in heart failure. Furthermore, the mixing of blood in the vortex ring is increased in heart failure patients compared to healthy hearts, which may reflect the impaired diastolic function in the patients.
Host: Prof. Krishna Nayak
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Talyia White
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Short Course: Six Sigma Green Belt for Process Improvement
Wed, Jul 08, 2015
DEN@Viterbi, Executive Education
Conferences, Lectures, & Seminars
Abstract: Learn how to integrate principles of business, statistics and engineering to achieve tangible results. Master the use of Six Sigma to quantify the critical quality issues in your company. Once the issues have been quantified, statistics can be applied to provide probabilities of success and failure. Six Sigma methods increase productivity and enhance quality. As a Six Sigma green belt, you will be equipped to support and champion a Six Sigma implementation in your organization. To earn the Six Sigma Green Belt Certificate, you will be required to pass the Institute of Industrial Engineer's green belt exam (administered on the final day of the course).
This course is available on-campus and online.
More Info: http://gapp.usc.edu/professional-programs/short-courses/industrial-systems/six-sigma-green-belt-process-improvement
Audiences: Registered Attendees
Contact: Viterbi Professional Programs
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Short Course: Six Sigma Green Belt for Process Improvement
Thu, Jul 09, 2015
DEN@Viterbi, Executive Education
Conferences, Lectures, & Seminars
Abstract: Learn how to integrate principles of business, statistics and engineering to achieve tangible results. Master the use of Six Sigma to quantify the critical quality issues in your company. Once the issues have been quantified, statistics can be applied to provide probabilities of success and failure. Six Sigma methods increase productivity and enhance quality. As a Six Sigma green belt, you will be equipped to support and champion a Six Sigma implementation in your organization. To earn the Six Sigma Green Belt Certificate, you will be required to pass the Institute of Industrial Engineer's green belt exam (administered on the final day of the course).
This course is available on-campus and online.
More Info: http://gapp.usc.edu/professional-programs/short-courses/industrial-systems/six-sigma-green-belt-process-improvement
Audiences: Registered Attendees
Contact: Viterbi Professional Programs
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NL Seminar-Parsing with word vectors
Fri, Jul 10, 2015 @ 03:00 PM - 04:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Deniz Yuret, (Koç University / USC / ISI Visitor)
Talk Title: Parsing with word vectors
Series: Natural Language Seminar
Abstract: We investigate the use of distributed word representations instead of word forms and parts of speech in syntactic parsing. Distributed representations are dense, low-dimensional, and real valued vector representations (embeddings) for words. Instead of ad-hoc feature conjunctions, we use kernels and neural networks for non-linearity, greatly simplifying feature engineering. We show that dense representations offer both computational and learning advantages compared to sparse one-hot vector representations. We introduce context vectors, distributed representations for word contexts, and show that they can replace or complement parts of speech in parsing models. We show that distributed representations give accuracies comparable to the state-of-the-art word form and part-of-speech based feature sets.
Biography: http://www.denizyuret.com/
Host: Nima Pourdamghani and Kevin Knight
More Info: http://nlg.isi.edu/nl-seminar/
Location: Information Science Institute (ISI) - 6th Flr Conf Rm # 689, Marina Del Rey
Audiences: Everyone Is Invited
Contact: Peter Zamar
Event Link: http://nlg.isi.edu/nl-seminar/
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AI SEMINAR
Fri, Jul 17, 2015 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Mesrob I. Ohannessian, Postdoctoral researcher at UC San Diego
Talk Title: Good-Turing rare probability estimation: When it does and doesn't work.
Series: AI Seminar
Abstract: The "missing mass" is the probability of all unseen symbols in i.i.d. samples from a discrete distribution. It captures a very fundamental notion of rare event. Being able to estimate this probability was critical in the wartime efforts of Alan Turing and his coworker Jack Good. Together, they proposed a very simple estimator that has been very influential to this day. In this talk, I will first overview the Good-Turing estimator and its favorable properties. I will then dismantle this impeccable image. In particular, I will show that Good-Turing can fail to learn the missing mass in relative error, for even the simplest light-tailed distributions. In fact, no other estimator can do this without further specifying the distribution class. I will then reconstruct a new reputation for this old estimator, as a highly effective specialized rare probability estimator for heavy-tailed distributions. This explains its success in areas where these distributions arise, such as in natural language modeling. This change in perspective opens the door to streamlined estimation techniques that are inspired by extreme value theory, and that extend far beyond missing mass estimation.
Biography: Mesrob I. Ohannessian is a postdoctoral researcher at UC San Diego. Previously, he spent two years in France, one at the Microsoft Research - Inria joint centre as a postdoc, and another at Université Paris-Sud as a Marie Curie Fellow under an ERCIM Alain Bensoussan Fellowship. He received his PhD in Electrical Engineering and Computer Science from MIT. His research interests are broadly in statistics, information theory, machine learning, and their applications, particularly to problems marked by data scarcity.
Host: Aram Galstyan
Webcast: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=55d2344730a54d739928f6a760f319511dLocation: Information Science Institute (ISI) - 1135 - 11th fl Large CR
WebCast Link: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=55d2344730a54d739928f6a760f319511d
Audiences: Everyone Is Invited
Contact: Alma Nava / Information Sciences Institute
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NL Seminar-Shift-Reduce CCG Parsing with a Dependency Model
Fri, Jul 17, 2015 @ 03:00 PM - 04:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Wenduan Xu, University of Cambridge/ USC ISI Intern
Talk Title: Shift-Reduce CCG Parsing with a Dependency Model
Series: Natural Language Seminar
Abstract: CCG is able to derive typed dependency structures, providing a useful approximation to the underlying predicate-argument relations of -who did what to whom- and dependency structures form an integral part of CCG. In this talk, I will first cover some essential background on CCG, its dependency structures and CCG parsing; I will then discuss a recent dependency model we developed for shift-reduce CCG parsing. A challenge arises in this model from the fact that the oracle needs to keep track of exponentially many gold-standard derivations, which are all hidden. And we solve this by integrating a packed parse forest with the beam-search decoder and introduce a novel technique for querying an exponentially-sized oracle on-the-fly during beam-search decoding.
Biography: Wenduan Xu is a graduate student in Cambridge advised by Stephen Clark, working on CCG parsing.
Host: Nima Pourdamghani and Kevin Knight
More Info: http://nlg.isi.edu/nl-seminar/
Location: 6th Flr Conf Rm # 689 Marina Del Rey
Audiences: Everyone Is Invited
Contact: Peter Zamar
Event Link: http://nlg.isi.edu/nl-seminar/
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NL Seminar- Dialogue focus tracking for zero pronoun resolution
Fri, Jul 24, 2015 @ 03:00 PM - 04:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Sudha Rao, Univ of Maryland / USC ISI Intern
Talk Title: Dialogue focus tracking for zero pronoun resolution
Series: Natural Language Seminar
Abstract: We take a novel approach to zero pronoun resolution in Chinese: our model explicitly tracks the flow of focus in a discourse. Our approach, which generalizes to deictic references, is not reliant on the presence of overt noun phrase antecedents to resolve to, and allows us to address the large percentage of -non-anaphoric- pronouns filtered out in other approaches. We furthermore train our model using readily available parallel Chinese/English corpora, allowing for training without hand-annotated data. Our results demonstrate improvements on two test sets, as well as the usefulness of linguistically motivated features.
Biography: I am a PhD student from University of Maryland, College Park working under Prof. Hal Daume III and Prof. Philip Resnik. My recent project on "Dialogue focus tracking for zero pronoun resolution" appeared at NAACL 2015. At ISI, I am working with Prof. Daniel Marcu and Prof. Kevin Knight on application of Abstract Meaning Representation (AMR) to biology literature. Specifically we will be developing techniques for constructing text level AMRs from sentence level AMRs and then assess its impact on reading-against-a-model molecular biology tasks. In my spare time, I enjoy singing, dancing and watching movies.
Host: Nima Pourdamghani and Kevin Knight
More Info: http://nlg.isi.edu/nl-seminar/
Location: Information Science Institute (ISI) - 6th Flr Conf Rm # 689, Marina Del Rey
Audiences: Everyone Is Invited
Contact: Peter Zamar
Event Link: http://nlg.isi.edu/nl-seminar/
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Data Acquisition for Quantitative Breast MRI
Tue, Jul 28, 2015 @ 10:30 AM - 11:30 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Brian Hargreaves, Stanford School of Medicine
Talk Title: Data Acquisition for Quantitative Breast MRI
Series: Medical Imaging Seminar Series
Abstract: This talk will cover acquisition approaches for quantitative breast MRI techniques to assess perfusion and diffusion. Perfusion is typically measured using dynamic contrast-enhanced acquisition, which forces a trade-off between temporal and spatial resolution. Advanced sampling schemes that include considerations for fat suppression will be shown including randomized sampling, parallel imaging and compressed sensing. Diffusion-weighted MRI is challenging since motion corrupts acquisitions. Two approaches are (1) to acquire single-shot images that are limited in resolution or (2) to acquire multi-shot images and correct for motion. Variations of the multi-shot approach including multi-band acquisition and steady-state acquisitions will be described.
Host: Professor Krishna Nayak
Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 132
Audiences: Everyone Is Invited
Contact: Talyia White
