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» Computability of Models for Sequence Assembly
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CDC
2008
IEEE
139views Control Systems» more  CDC 2008»
16 years 1 months ago
Iterative Risk Allocation: A new approach to robust Model Predictive Control with a joint chance constraint
Abstract— This paper proposes a novel two-stage optimization method for robust Model Predictive Control (RMPC) with Gaussian disturbance and state estimation error. Since the dis...
Masahiro Ono, Brian C. Williams
GECCO
2005
Springer
204views Optimization» more  GECCO 2005»
16 years 2 days ago
Modeling systems with internal state using evolino
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...
Daan Wierstra, Faustino J. Gomez, Jürgen Schm...
TCAD
2002
115views more  TCAD 2002»
15 years 6 months ago
Analytical models for crosstalk excitation and propagation in VLSI circuits
We develop a general methodology to analyze crosstalk effects that are likely to cause errors in deep submicron high speed circuits. We focus on crosstalk due to capacitive coupli...
Wei-Yu Chen, Sandeep K. Gupta, Melvin A. Breuer
ICIP
2008
IEEE
16 years 1 months ago
An adaptive background model initialization algorithm with objects moving at different depths
Background subtraction is an essential element in most object tracking and video surveillance systems. The success of this low-level processing step is highly dependent on the qua...
Chia-Chih Chen, J. K. Aggarwal
ICASSP
2011
IEEE
14 years 10 months ago
Recent development of discriminative training using non-uniform criteria for cross-level acoustic modeling
In this paper, we extend our previous study on discriminative training using non-uniform criteria for speech recognition. The work will put emphasis on how the acoustic modeling i...
Chao Weng, Biing-Hwang Juang