Zhi-Quan Luo and Georgios B. Giannakis, University of Minnesota
Abstract
Recent technological advances have led to the emergence of small, low-power, and possibly mobile devices with limited on-board processing and wireless communication capabilities. When deployed in large numbers, these devices have the ability to form an intelligent network which can measure aspects and identities of the physical […]
Ciprian Chelba, Google and T. J. Hazen, MIT Computer Science and Artificial Intelligence Lab.
Abstract
Ever increasing computing power and connectivity bandwidth together with falling storage costs result in an overwhelming amount of data of various types being produced, exchanged, and stored. Consequently, search emerges as a key application as more and more data is being saved.
Speech […]
Yonina Eldar, Technion, Israel
Abstract
The problem of estimating a deterministic parameter vector from noisy measurements has countless applications in science and engineering. The overwhelmingly most popular approach to estimation in such scenarios is the maximum likelihood (ML) principle. One of the main justifications for the ML method is that under suitable regularity conditions it asymptotically achieves […]
Prof. Partha Niyogi, University of Chicago
Abstract
Increasingly, we face a number of a number of data analysis, information processing, and pattern recognition problems in very high dimensional spaces. One approach to modeling such data is to proceed with the assumption that natural data is generated by physical systems with few degrees of freedom. A consequence of […]
Dr. Amitav Das, Microsoft Research, India
Abstract
Biometric recognition, or, the automatic recognition of individuals based on their biometric features, is gaining increasingly more and more attention and enjoying increasing demands in various access control and crime/terrorism prevention usages. Compared to the use of a single biometric, the use multiples biometrics offers higher performance as well as […]
Shoji Makino and Hiroshi Sawada, NTT, Japan
Abstract
This tutorial describes a state-of-the-art method for the blind source separation (BSS) of convolutive mixtures of audio signals. Independent component analysis (ICA) is used as a major statistical tool for separating the mixtures. We provide examples to show how ICA criteria change as the number of audio sources increases. […]
Dilek Hakkani-Tür, ICSI and Gokhan Tur, SRI International
Abstract
Understanding language is about extracting the “meaning” from natural language input. Although meaning is the holy grail to not only linguistics but also to philosophy, psychology, and neuroscience, [1] in the last decade a variety of practical language understanding systems have been built. Language understanding tasks include information […]
Pierre Duhamel and Michel Kieffer, CNRS/LSS
Abstract
IntroductionThe tutorial begins by a careful motivation, based on actual applications
Context of the work
Solutions currently used
Example 1 : visophony over IP
Example 2 : video broadcasting
Example 3 : Multimedia multicasting
Structure of a video coder
Network adaptation - application layer point of view
Why source and channel joint decoding?Then we proceed by a careful […]
Prof. Harry L. Van Trees, George Mason University and University of Hawaii. and Prof. Kristine Bell George Mason University
Abstract
Bayesian estimation plays a central role in many signal processing problems. These are often highly nonlinear problems for which evaluation of the exact performance is intractable. A widely used technique is to find a bound on the […]
Jin Li, Microsoft Research
Abstract
In both academia and industry, peer-to-peer (P2P) applications have attracted great attention. Peer-to-peer file sharing applications, such as Napster, Gnutella, Kazaa, BitTorrent, Skype and PPLive, have witnessed tremendous success among end users. And the P2P streaming applications, such as PPLive, UUSee, are on the rise. Recent statistics suggests that P2P traffic accounts […]