Michael A. Kouritzin

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 5

Top Topics

Importance Sampling

Particle Filter

Top Venues

Comput. Stat. Data Anal.

Signal Process.

SIAM J. Control. Optim.

Publications

Michael A. Kouritzin
Sampling and filtering with Markov chains. Signal Process. 225 (2024)
Michael A. Kouritzin, Daniel Richard
Universal Approximation and the Topological Neural Network. CoRR (2023)
Michael A. Kouritzin
Markov Observation Models. CoRR (2022)
Michael A. Kouritzin, Anne Mackay, Nicolas Vellone-Scott
New Branching Filters With Explicit Negative Dependence. IEEE Access 8 (2020)
Michael A. Kouritzin
Residual and stratified branching particle filters. Comput. Stat. Data Anal. 111 (2017)
Michael A. Kouritzin, Samira Sadeghi
Convergence Rates and Decoupling in Linear Stochastic Approximation Algorithms. SIAM J. Control. Optim. 53 (3) (2015)
Michael A. Kouritzin, Fraser Newton, Biao Wu
A graph theoretic approach to simulation and classification. Comput. Stat. Data Anal. 70 (2014)
Michael A. Kouritzin, Fraser Newton, Biao Wu
On Random Field Completely Automated Public Turing Test to Tell Computers and Humans Apart Generation. IEEE Trans. Image Process. 22 (4) (2013)
Fraser Newton, Michael A. Kouritzin
On grey levels in random CAPTCHA generation. Visual Information Processing (2011)
J. Hailes, Michael A. Kouritzin, R. Marsh, J. McCrosky
Tracking Promyelocytic Leukemia Nuclear Bodies for Disease Detection: A Proof of Concept via Filtering. ICMENS (2004)
Michael A. Kouritzin
On exact filters for continuous signals with discrete observations. IEEE Trans. Autom. Control. 43 (5) (1998)
Michael A. Kouritzin
On the convergence of linear stochastic approximation procedures. IEEE Trans. Inf. Theory 42 (4) (1996)
Michael A. Kouritzin
On Almost-Sure Bounds for the LMS Algorithm. IEEE Trans. Inf. Theory 40 (2) (1994)