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Events for July 31, 2014
Thu, Jul 31, 2014
Distance Education Network
Conferences, Lectures, & Seminars
Abstract: Event Dates:
Week 1: July 7 - 11, 2014 from 9:00am - 5:00pm
Week 2: August 11 - 15, 2014 from 9:00am - 5:00pm
Week 3: September 8 - 12, 2014 from 9:00am - 5:00pm
This course teaches you the advanced problem-solving skills you will need in order to measure a process, analyze the results, develop process improvements and quantify the resulting savings. Project assignments between sessions require you to apply what youâ€™ve learned. This course is presented in three five-day sessions over a three-month period.
Learn the advanced problem-solving skills you need to implement the principles, practices and techniques of Six Sigma to maximize performance and cost reductions in your organization. During this three-week practitioner course, you will learn how to measure a process, analyze the results, develop process improvements and quantify the resulting savings. You will be required to complete a project demonstrating mastery of appropriate analytical methods and pass an examination to earn USC and IIE's Six Sigma Black Belt Certificate. This practitioner course for Six Sigma implementation provides extensive coverage of the Six Sigma process as well as intensive exposure to the key analytical tools associated with Six Sigma, including project management, team skills, cost analysis, FMEA, basic statistics, inferential statistics, sampling, goodness of fit testing, regression and correlation analysis, reliability, design of experiments, statistical process control, measurement systems analysis and simulation. Computer applications are emphasized.
Host: Professional Programs
Audiences: Registered Attendees
Posted By: Viterbi Professional Programs
Thu, Jul 31, 2014 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Ali Borji, USC
Talk Title: Computational Modeling of Bottom-up and Top-Down Visual Attention
Series: Natural Language Seminar
Abstract: Over the last two decades, the inter-disciplinary fields of visual attention and saliency have attracted a lot of interest in cognitive sciences, computer vision, robotics, and machine learning. The high complexity of natural environments requires the primate visual system to combine, in a highly dynamic and adaptive manner, sensory signals that originate from the environment (bottom-up) with behavioral goals and priorities dictated by the task at hand (top-down). I will talk about my recent research in two directions: 1) Bottom-up attention: I will give a snapshot of biological findings on visual attention (e.g., how gaze direction of people in a scene influences eye movements of an external observer), theoretical background on saliency concepts, our model benchmark and saliency models, and 2) Top-down attention: I will describe our neuromorphic algorithms to predict, in a task-independent manner, which elements in a video scene might more strongly attract the gaze of a human. Multi-modal data including bottom-up saliency, "gist" or global context, physical actions and object properties (using example recorded eye movements and videos of humans engaged in various 3D video games, including flight combat, driving, first-person shooting, running a hot-dog stand that serves hungry customers) are utilized to associate particular scenes with particular locations of interest, given the task (e.g., when the task is to drive, if the scene depicts a road turning left, the system learns to look at that left turn). Finally, I will present some successful engineering and clinical applications of our models.
Biography: Ali Borji received the BS and MS degrees in computer engineering from the Petroleum University of Technology, Tehran, Iran, 2001 and Shiraz University, Shiraz, Iran, 2004, respectively. He received the PhD degree in computational neurosciences from the Institute for Studies in Fundamental Sciences (IPM) in Tehran, 2009. He then spent a year at University of Bonn as a postdoc. He has been a postdoctoral scholar at iLab, University of Southern California, Los Angeles since March 2010.
His research interests include computer vision, machine learning, and neurosciences with particular emphasis on visual attention, visual search, active learning, scene and object recognition, and biologically plausible vision models.
Host: Aliya Deri and Kevin Knight
More Info: http://nlg.isi.edu/nl-seminar/
Audiences: Everyone Is Invited
Posted By: Peter Zamar
Thu, Jul 31, 2014 @ 06:45 PM - 08:45 PM
Viterbi School of Engineering Graduate Admission
Workshops & Infosessions
Synergy Banquet Room
Road No. 1, Banjara Hills
Hyderabad 500 034
You are cordially invited to join us for an upcoming graduate engineering information session in India. These events will be hosted by Viterbi School representatives including Sudha Kumar, Director of the USC India Office, and Candace House, Executive Director for Corporate and Professional Programs.
Students who have earned or are in the progress of earning a Bachelor's degree in engineering, math, or a hard science (such as physics, biology, or chemistry) are welcome to attend to learn more about applying to our graduate programs.
Register to Attend
Location: Taj Deccan Hyderabad
Audiences: Students with an undergraduate background in engineering, math or science
Posted By: Laura Hartman