Michael A. Kouritzin

15 papers Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2024 J jnl
Sampling and filtering with Markov chains.
Signal Process.
Michael A. Kouritzin
2024 J jnl
Universal Approximation and the Topological Neural Network.
IEEE Access
Michael A. Kouritzin, Daniel Richard
2023 J jnl
A Bootstrap Algorithm for Fast Supervised Learning.
CoRR
Michael A. Kouritzin, Stephen Styles, Beatrice-Helen Vritsiou
2023 J jnl
Universal Approximation and the Topological Neural Network.
CoRR
Michael A. Kouritzin, Daniel Richard
2022 J jnl
Markov Observation Models.
CoRR
Michael A. Kouritzin
2020 J jnl
New Branching Filters With Explicit Negative Dependence.
IEEE Access
Michael A. Kouritzin, Anne Mackay, Nicolas Vellone-Scott
2017 J jnl
Residual and stratified branching particle filters.
Comput. Stat. Data Anal.
Michael A. Kouritzin
2015 J jnl
Convergence Rates and Decoupling in Linear Stochastic Approximation Algorithms.
SIAM J. Control. Optim.
Michael A. Kouritzin, Samira Sadeghi
2014 J jnl
A graph theoretic approach to simulation and classification.
Comput. Stat. Data Anal.
Michael A. Kouritzin, Fraser Newton, Biao Wu
2013 J jnl
On Random Field Completely Automated Public Turing Test to Tell Computers and Humans Apart Generation.
IEEE Trans. Image Process.
Michael A. Kouritzin, Fraser Newton, Biao Wu
2011 — conf
On grey levels in random CAPTCHA generation.
Visual Information Processing
Fraser Newton, Michael A. Kouritzin
2004 — conf
Tracking Promyelocytic Leukemia Nuclear Bodies for Disease Detection: A Proof of Concept via Filtering.
ICMENS
J. Hailes, Michael A. Kouritzin, R. Marsh, J. McCrosky
1998 J jnl
On exact filters for continuous signals with discrete observations.
IEEE Trans. Autom. Control.
Michael A. Kouritzin
1996 J jnl
On the convergence of linear stochastic approximation procedures.
IEEE Trans. Inf. Theory
Michael A. Kouritzin
1994 J jnl
On Almost-Sure Bounds for the LMS Algorithm.
IEEE Trans. Inf. Theory
Michael A. Kouritzin