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CSDA
2008
158views more  CSDA 2008»
14 years 12 months ago
Outlier identification in high dimensions
A computationally fast procedure for identifying outliers is presented, that is particularly effective in high dimensions. This algorithm utilizes simple properties of principal c...
Peter Filzmoser, Ricardo A. Maronna, Mark Werner
CSDA
2008
80views more  CSDA 2008»
14 years 12 months ago
Variational Bayesian functional PCA
A Bayesian approach to analyze the modes of variation in a set of curves is suggested. It is based on a generative model thus allowing for noisy and sparse observations of curves....
Angelika van der Linde
ACTAC
2006
94views more  ACTAC 2006»
14 years 12 months ago
A Hierarchical Evaluation Methodology in Speech Recognition
In speech recognition vast hypothesis spaces are generated, so the search methods used and their speedup techniques are both of great importance. One way of getting a speedup gain...
Gábor Gosztolya, András Kocsor
AUTOMATICA
2006
88views more  AUTOMATICA 2006»
14 years 12 months ago
Exact computation of amplification for a class of nonlinear systems arising from cellular signaling pathways
A commonly employed measure of the signal amplification properties of an input/output system is its induced L2 norm, sometimes also known as H gain. In general, however, it is ext...
Eduardo D. Sontag, Madalena Chaves
AUTOMATICA
2006
150views more  AUTOMATICA 2006»
14 years 12 months ago
Enlarging the terminal region of nonlinear model predictive control using the support vector machine method
In this paper, Receding Horizon Model Predictive Control (RHMPC) of nonlinear systems subject to input and state constraints is considered. We propose to estimate the terminal reg...
Chong Jin Ong, Dan Sui, Elmer G. Gilbert