Michael J. Kirby

14 papers A 1Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2015 J jnl
A Radial Basis Function Algorithm with Automatic Model Order Determination.
SIAM J. Sci. Comput.
Arta A. Jamshidi, Michael J. Kirby
2011 J jnl
Geometric Manifold Learning.
IEEE Signal Process. Mag.
Arta A. Jamshidi, Michael J. Kirby, David S. Broomhead
2011 J jnl
Modeling Multivariate Time Series on Manifolds with Skew Radial Basis Functions.
Neural Comput.
Arta A. Jamshidi, Michael J. Kirby
2010 J jnl
Skew-Radial Basis Function Expansions for Empirical Modeling.
SIAM J. Sci. Comput.
Arta A. Jamshidi, Michael J. Kirby
2007 J jnl
Towards a Black Box Algorithm for Nonlinear Function Approximation over High-Dimensional Domains.
SIAM J. Sci. Comput.
Arta A. Jamshidi, Michael J. Kirby
2006 — conf
Examples of Compactly Supported Functions for Radial Basis Approximations.
MLMTA
Arta A. Jamshidi, Michael J. Kirby
2005 J jnl
Feature Selection and Blind Source Separation in an EEG-Based Brain-Computer Interface.
EURASIP J. Adv. Signal Process.
David A. Peterson, James N. Knight, Michael J. Kirby, Charles W. Anderson, Michael H. Thaut
2003 — conf
EEG Subspace Representations and Feature Selection for Brain-Computer Interfaces.
CVPR Workshops
Charles W. Anderson, Michael J. Kirby
2003 A conf
Estimation of Topological Dimension.
SDM
Douglas R. Hundley, Michael J. Kirby
2002 J jnl
Blind source separation using the maximum signal fraction approach.
Signal Process.
Douglas R. Hundley, Michael J. Kirby, Markus Anderle
2002 J jnl
The Bilipschitz criterion for dimension reduction mapping design.
Intell. Data Anal.
Markus Anderle, Douglas R. Hundley, Michael J. Kirby
2001 J jnl
The Whitney Reduction Network: A Method for Computing Autoassociative Graphs.
Neural Comput.
David S. Broomhead, Michael J. Kirby
2000 J jnl
A New Approach to Dimensionality Reduction: Theory and Algorithms.
SIAM J. Appl. Math.
David S. Broomhead, Michael J. Kirby
1996 J jnl
Circular nodes in neural networks.
Neural Comput.
Michael J. Kirby, Rick Miranda