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Events for August 29, 2013
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Monte Carlo Non-Local Means: Random Sampling for Large-scale Denoising
Thu, Aug 29, 2013 @ 03:00 PM - 04:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Stanley H. Chan, Ph.D., Harvard University
Talk Title: Monte Carlo Non-Local Means: Random Sampling for Large-scale Denoising
Abstract: Non-local means (NLM) is a well-known and influential image denoising algorithm. Since its publication in 2005, the NLM algorithm has been widely cited and compared against many more advanced algorithms in the denoising literature. However, NLM’s high computational complexity remains an open issue to the image processing community.
In this talk, I will present a scalable NLM algorithm, called the Monte-Carlo Non-local Means (MCNLM). Different from the classical NLM which computes the distances between every pair of pixel patches in the image, MCNLM computes only a subset of randomly selected pairs of patches. Two major analytical questions of MCNLM will be discussed. First, using the statistical large deviation theory, I will provide theoretical guarantees of MCNLM for any random sampling strategy. Second, I will discuss the optimal sampling pattern which maximizes the rate of convergence. MCNLM has marginal memory and programming costs compared to the original NLM algorithm, yet it is scalable to large-scale problems. In our experiment, apart from the denoising images using the noisy image itself, we also applied MCNLM to denoise image patches using external databases. On a database containing 10 billion patches, we demonstrate 3 orders of magnitudes in speed up.
(Joint work with Todd Zickler and Yue Lu)
Biography: Stanley H. Chan is a post-doctoral research fellow in the School of Engineering and Applied Science and the Department of Statistics of Harvard University. He received the B.Eng. degree in Electrical Engineering from the University of Hong Kong in 2007, the M.A. degree in Applied Mathematics from University of California, San Diego in 2009, and the Ph.D. degree in Electrical Engineering from University of California, San Diego in 2011. His current research interests are statistical signal processing and exchangeable random graph theory. Dr. Chan is a recipient of the Croucher Foundation Fellowship for Post-doctoral Research 2012-2013 and the Croucher Foundation Scholarship for Full-time Overseas PhD Studies 2008-2010, one of the most prestigious scholarships for outstanding Hong Kong students studying overseas.
Host: Hosted by Prof. C.-C. Jay Kuo
Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 248
Audiences: Everyone Is Invited
Contact: Talyia Veal
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CS Colloquium: Matthew E. Taylor (Washington State University)
Thu, Aug 29, 2013 @ 03:30 PM - 05:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Matthew E. Taylor, Washington State University
Talk Title: Agents as Teachers and Learners
Series: CS Colloquium
Abstract: Physical (robotic) agents and virtual (software) agents are becoming increasingly common in industry, education, and domestic environments. Recent research advances allow these agents can learn to complete tasks without human intervention. However, little is known about how humans should best teach such agents, nor how an agent could teach other agents. This unduly limits the rate at which the agents learn and reduces the potential benefits of leveraging existing human or agent knowledge. This talk discusses some recent progress in enabling one agent to teach another reinforcement learning agent, even if the they have different learning methods and/or representations.
Biography: Matthew E. Taylor graduated magna cum laude with a double major in computer science and physics from Amherst College in 2001. After working for two years as a software developer, he began his Ph.D. work at the University of Texas at Austin with an MCD fellowship from the College of Natural Sciences. He received his doctorate from the Department of Computer Sciences in the summer of 2008, supervised by Peter Stone. Matt then completed a two year postdoctoral research position at the University of Southern California with Milind Tambe and spent 2.5 years as an assistant professor at Lafayette College in the computer science department. He is currently an assistant professor at Washington State University in the School of Electrical Engineering and Computer Science and is a recipient of the National Science Foundation CAREER award. Current research interests include intelligent agents, multi-agent systems, reinforcement learning, and transfer learning.
Host: Milind Tambe
Location: Henry Salvatori Computer Science Center (SAL) - 101
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
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Transfer Welcome BBQ
Thu, Aug 29, 2013 @ 05:00 PM - 06:30 PM
Viterbi School of Engineering Student Affairs
Receptions & Special Events
Calling all new transfer students! Come enjoy some tasty BBQ, meet your fellow transfer students, and learn about important Viterbi and USC programs and services.
Location: Engineering Quad
Audiences: Undergrad
Contact: Christine D'Arcy
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ASBME Welcome Back General Meeting
Thu, Aug 29, 2013 @ 07:00 PM - 08:00 PM
Viterbi School of Engineering Student Organizations
Student Activity
Welcome all Biomedical Engineering students to a new school year! We are ASBME and we're here to help you! Attend one of our two welcome meetings to learn all about ASBME, BMEStart, ASBMEntoring and BME at USC! Come to find out about our awesome calendar of events, how to become a member, how to apply for our Freshman Representative position, and just what ASBME can do for you! We welcome all new and returning students to attend and connect with each other to build the best Biomedical Engineering community around! And, yes, there will be food!
Location: TBD
Audiences: Everyone Is Invited
Contact: Associated Students of Biomedical Engineering
