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CSDA
2010
99views more  CSDA 2010»
13 years 7 months ago
Robust M-estimation of multivariate GARCH models
In empirical work on multivariate financial time series, it is common to postulate a Multivariate GARCH model. We show that the popular Gaussian quasi-maximum likelihood estimator...
Kris Boudt, Christophe Croux
DAC
2008
ACM
14 years 8 months ago
Transistor level gate modeling for accurate and fast timing, noise, and power analysis
Current source based cell models are becoming a necessity for accurate timing and noise analysis at 65nm and below. Voltage waveform shapes are increasingly more difficult to repr...
S. Raja, F. Varadi, Murat R. Becer, Joao Geada
ICANN
2005
Springer
14 years 1 months ago
A Real-Time, FPGA Based, Biologically Plausible Neural Network Processor
Abstract. A real-time, large scale, leaky-integrate-and-fire neural network processor realized using FPGA is presented. This has been designed, as part of a collaborative project,...
Martin J. Pearson, Ian Gilhespy, Kevin N. Gurney, ...
IANDC
2007
107views more  IANDC 2007»
13 years 7 months ago
Task automata: Schedulability, decidability and undecidability
We present a model, task automata, for real time systems with non-uniformly recurring computation tasks. It is an extended version of timed automata with asynchronous processes th...
Elena Fersman, Pavel Krcál, Paul Pettersson...
ICCV
2001
IEEE
14 years 9 months ago
Real-Time Tracking of Highly Articulated Structures in the Presence of Noisy Measurements
This paper presents a novel approach for model-based realtime tracking of highly articulated structures such as humans. This approach is based on an algorithm which efficiently pr...
Tom Drummond, Roberto Cipolla