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» Neural Model Identification Using Local Robustness Analysis
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EAAI
2007
199views more  EAAI 2007»
13 years 7 months ago
Nonlinear system modeling and robust predictive control based on RBF-ARX model
An integrated modeling and robust model predictive control (MPC) approach is proposed for a class of nonlinear systems with unknown steady state. First, the nonlinear system is id...
Hui Peng, Zi-Jiang Yang, Weihua Gui, Min Wu, Hideo...
ICASSP
2008
IEEE
14 years 1 months ago
Voice source cepstrum coefficients for speaker identification
We propose a novel feature set for speaker recognition that is based on the voice source signal. The feature extraction process uses closed-phase LPC analysis to estimate the voca...
Jon Gudnason, Mike Brookes
ICIAR
2009
Springer
13 years 5 months ago
Score Level Fusion of Ear and Face Local 3D Features for Fast and Expression-Invariant Human Recognition
Abstract. Increasing risks of spoof attacks and other common problems of unimodal biometric systems such as intra-class variations, nonuniversality and noisy data necessitate the u...
Syed M. S. Islam, Mohammed Bennamoun, Ajmal S. Mia...
DDECS
2006
IEEE
146views Hardware» more  DDECS 2006»
13 years 11 months ago
Automatic Identification of Timing Anomalies for Cycle-Accurate Worst-Case Execution Time Analysis
Abstract-- Hard real-time systems need methods to determine upper bounds for their execution times, usually called worst-case execution times. Timing anomalies are counterintuitive...
Jochen Eisinger, Ilia Polian, Bernd Becker, Alexan...
KDD
2002
ACM
148views Data Mining» more  KDD 2002»
14 years 7 months ago
Tumor cell identification using features rules
Advances in imaging techniques have led to large repositories of images. There is an increasing demand for automated systems that can analyze complex medical images and extract me...
Bin Fang, Wynne Hsu, Mong-Li Lee