Select a calendar:
Filter April Events by Event Type:
SUNMONTUEWEDTHUFRISAT
Events for April 11, 2006
-
Apply now for VSC funding Board!
Tue, Apr 11, 2006
Viterbi School of Engineering Student Organizations
Student Activity
Apply now for VSC Funding Board. You can find more information online at:http://viterbi.usc.edu/students/vsc/
Audiences: Undergraduate
Contact: Viterbi Student Council
-
Special Guest Lecturer
Tue, Apr 11, 2006 @ 03:00 PM - 04:30 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Nonlinear Filtering and Sequential Analysis for Hidden Markov ModelsProf. B.L. Rozovsky
Professor of Mathematics and Aerospace and Mechanical Engineering Center for Applied Mathematical SciencesUSC I will discuss some new statistical algorithms that proved to be efficient in a range of emerging applications. These include: computer vision, target tracking in a video-stream, intrusion detection in high speed computer networks, etc.
The first part of the talk is concerned with recent progress in theory and applications of nonlinear filtering. I will argue that banks of interacting (nonlinear) Bayesian matched filters can be successfully utilized to handle dim and acutely maneuvering targets.
The potential range of applications of the developed spatial-temporal tracking algorithms includes a new generation of tracking systems for missile defense, terrestrial reconnaissance, machine vision systems, and certain medical imaging applications.
In the second part of the talk I will discuss an efficient anomaly detection system that detects denial-of-service attacks at multi-gigabit speeds with minimal detection delay for a given low false alarm rate. The proposed constant false alarm rate detector utilizes ideas of sequential statistical analysis. The algorithm is computationally simple and self-learning, it adapts well to various network loads and usage patterns. Biography:Dr. Boris Rozovsky is Professor of Mathematics and Aerospace and Mechanical Engineering at the University of Southern California. He is also Director of the USC Center for Applied Mathematical Sciences
His research interests are in the areas of stochastic systems, nonlinear filtering,
prediction and smoothing, inverse problems for randomly perturbed systems,
target tracking, intrusion detection and mathematical modeling of the Internet. He is the
author of four books in the general area of stochastic systems and more than 100 research
articles. He is a Fellow of Institute of Mathematical Statistics and a recipient of other awards. Refreshments will be served.Location: Seaver Science Library (SSL) - 150
Audiences: Everyone Is Invited
Contact: Nancy Levien
-
Special Guest Lecturer
Tue, Apr 11, 2006 @ 03:00 PM - 04:30 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Nonlinear Filtering and Sequential Analysis for Hidden Markov ModelsB.L. Rozovsky
Professor of Mathematics and Aerospace and Mechanical Engineering Center for Applied Mathematical SciencesUSC I will discuss some new statistical algorithms that proved to be efficient in a range of emerging applications. These include: computer vision, target tracking in a video-stream, intrusion detection in high speed computer networks, etc.
The first part of the talk is concerned with recent progress in theory and applications of nonlinear filtering. I will argue that banks of interacting (nonlinear) Bayesian matched filters can be successfully utilized to handle dim and acutely maneuvering targets.
The potential range of applications of the developed spatial-temporal tracking algorithms includes a new generation of tracking systems for missile defense, terrestrial reconnaissance, machine vision systems, and certain medical imaging applications.
In the second part of the talk I will discuss an efficient anomaly detection system that detects denial-of-service attacks at multi-gigabit speeds with minimal detection delay for a given low false alarm rate. The proposed constant false alarm rate detector utilizes ideas of sequential statistical analysis. The algorithm is computationally simple and self-learning, it adapts well to various network loads and usage patterns. Biography:Dr. Boris Rozovsky is Professor of Mathematics and Aerospace and Mechanical Engineering at the University of Southern California. He is also Director of the USC Center for Applied Mathematical Sciences
His research interests are in the areas of stochastic systems, nonlinear filtering,
prediction and smoothing, inverse problems for randomly perturbed systems,
target tracking, intrusion detection and mathematical modeling of the Internet. He is the
author of four books in the general area of stochastic systems and more than 100 research
articles. He is a Fellow of Institute of Mathematical Statistics and a recipient of other awards. Refreshments will be served.Location: Seaver Science Library (SSL) - 150
Audiences: Everyone Is Invited
Contact: Nancy Levien
-
Special Guest Lecturer
Tue, Apr 11, 2006 @ 03:00 PM - 04:30 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Nonlinear Filtering and Sequential Analysis for Hidden Markov ModelsB.L. RozovskyProfessor of Mathematics and Aerospace and Mechanical Engineering Center for Applied Mathematical SciencesUSC I will discuss some new statistical algorithms that proved to be efficient in a range of emerging applications. These include: computer vision, target tracking in a video-stream, intrusion detection in high speed computer networks, etc.
The first part of the talk is concerned with recent progress in theory and applications of nonlinear filtering. I will argue that banks of interacting (nonlinear) Bayesian matched filters can be successfully utilized to handle dim and acutely maneuvering targets.
The potential range of applications of the developed spatial-temporal tracking algorithms includes a new generation of tracking systems for missile defense, terrestrial reconnaissance, machine vision systems, and certain medical imaging applications.
In the second part of the talk I will discuss an efficient anomaly detection system that detects denial-of-service attacks at multi-gigabit speeds with minimal detection delay for a given low false alarm rate. The proposed constant false alarm rate detector utilizes ideas of sequential statistical analysis. The algorithm is computationally simple and self-learning, it adapts well to various network loads and usage patterns. Biography:Dr. Boris Rozovsky is Professor of Mathematics and Aerospace and Mechanical Engineering at the University of Southern California. He is also Director of the USC Center for Applied Mathematical Sciences
His research interests are in the areas of stochastic systems, nonlinear filtering,
prediction and smoothing, inverse problems for randomly perturbed systems,
target tracking, intrusion detection and mathematical modeling of the Internet. He is the
author of four books in the general area of stochastic systems and more than 100 research
articles. He is a Fellow of Institute of Mathematical Statistics and a recipient of other awards. Refreshments will be served.Location: Seaver Science Library (SSL) - 150
Audiences: Everyone Is Invited
Contact: Nancy Levien
-
Maya Character Modeling Workshop
Tue, Apr 11, 2006 @ 08:00 PM - 10:00 PM
Viterbi School of Engineering Student Organizations
Student Activity
William Meyer, the modeler for the USC GamePipe Lab, will give a 2-part workshop on using Maya to create character models. Seats are limited in RTH 321, so RSVP to siggraph@usc.edu as soon as possible. This is a 2-part series, the first part being on April 10th and the second on April 11th.
A light dinner will be served.Location: Ronald Tutor Hall of Engineering (RTH) - 321
Audiences: Undergrad
Contact: USC SIGGRAPH
