Jim Huang

发表

Friendly rebuttal to Chen and Mehra: incompressible particle flow for nonlinear filters

Fred Daum, Jim Huang, 2012, Defense + Commercial Sensing.

A plethora of open problems in particle flow research for nonlinear filters, Bayesian decisions, Bayesian learning, and transport

Fred Daum, Jim Huang, F. Daum, 2016, Defense + Security.

Numerical experiments for Gromov’s stochastic particle flow filters

Fred Daum, Jim Huang, Arjang Noushin, 2017, Defense + Security.

Renormalization group flow and other ideas inspired by physics for nonlinear filters, Bayesian decisions, and transport

Fred Daum, Jim Huang, F. Daum, 2014, Defense + Security Symposium.

Physics-based computational complexity of nonlinear filters

Fred Daum, Jim Huang, 2004, SPIE Defense + Commercial Sensing.

Particle flow with non-zero diffusion for nonlinear filters, Bayesian decisions and transport

Fred Daum, Jim Huang, 2013, Optics & Photonics - Optical Engineering + Applications.

Nonlinear filters with log-homotopy

Fred Daum, Jim Huang, F. Daum, 2007, SPIE Optical Engineering + Applications.

Generalized Gromov method for stochastic particle flow filters

Fred Daum, Jim Huang, Arjang Noushin, 2017, Defense + Security.

Hollywood log-homotopy: movies of particle flow for nonlinear filters

Fred Daum, Jim Huang, 2011, Defense + Commercial Sensing.

Small curvature particle flow for nonlinear filters

Fred Daum, Jim Huang, 2012, Defense + Commercial Sensing.

Zero curvature particle flow for nonlinear filters

Fred Daum, Jim Huang, F. Daum, 2012, Defense, Security, and Sensing.

Exact particle flow for nonlinear filters

Fred Daum, Jim Huang, Arjang Noushin, 2010, Defense + Commercial Sensing.

Particle degeneracy: root cause and solution

Fred Daum, Jim Huang, 2011, Defense + Commercial Sensing.

Generalized particle flow for nonlinear filters

Fred Daum, Jim Huang, F. Daum, 2010, Defense + Commercial Sensing.

Quasi-Monte Carlo hybrid particle filters

Fred Daum, Jim Huang, 2004, SPIE Defense + Commercial Sensing.

Track before detect for radar using stochastic particle flow filters

Jim Huang, Arjang Noushin, Fred Daum, 2020, 2020 IEEE Radar Conference (RadarConf20).

Fourier transform particle flow for nonlinear filters

Fred Daum, Jim Huang, 2013, Defense, Security, and Sensing.

Numerical experiments for nonlinear filters with exact particle flow induced by log-homotopy

Fred Daum, Jim Huang, 2010, Defense + Commercial Sensing.

A fresh perspective on research for nonlinear filters

Fred Daum, Jim Huang, 2010, Defense + Commercial Sensing.

Particle flow inspired by Knothe-Rosenblatt transport for nonlinear filters

Fred Daum, Jim Huang, F. Daum, 2013, Defense, Security, and Sensing.

Gradient estimation for particle flow induced by log-homotopy for nonlinear filters

Jim Huang, Fred Daum, Arjang Noushin, 2009, Defense + Commercial Sensing.

Extremely deep Bayesian learning with Gromov's method

Fred Daum, Jim Huang, Arjang Noushin, 2019, Defense + Commercial Sensing.

Discussion and application of the homotopy filter

Peter Willett, Fred Daum, Jim Huang, 2011, Defense + Commercial Sensing.

Particle flow with non-zero diffusion for nonlinear filters

Fred Daum, Jim Huang, F. Daum, 2013, Defense, Security, and Sensing.

Nonlinear filters with particle flow induced by log-homotopy

Fred Daum, Jim Huang, F. Daum, 2009, Defense + Commercial Sensing.

Proof that particle flow corresponds to Bayes’ rule: necessary and sufficient conditions

Fred Daum, Jim Huang, F. Daum, 2015, Defense + Security Symposium.

Nonlinear filtering with quasi-Monte Carlo methods

Jim Huang, Fred E. Daum, F. Daum, 2003, SPIE Optics + Photonics.

Bayesian big bang

Fred Daum, Jim Huang, 2011, Optical Engineering + Applications.

Mysterious computational complexity of particle filters

Fred Daum, Jim Huang, 2002, SPIE Defense + Commercial Sensing.

Angle only tracking with particle flow filters

Fred Daum, Jim Huang, 2011, Optical Engineering + Applications.

A friendly rebuttal to Mallick and Sindhu on particle flow for Bayes' rule

Fred Daum, Jim Huang, Arjang Noushin, 2016, Defense + Security.

Coulomb's law particle flow for nonlinear filters

Fred Daum, Jim Huang, Arjang Noushin, 2011, Optical Engineering + Applications.

Seventeen dubious methods to approximate the gradient for nonlinear filters with particle flow

Fred Daum, Jim Huang, Misha Krichman, 2009, Optical Engineering + Applications.

Nonlinear filters with particle flow

Fred Daum, Jim Huang, 2009, Optical Engineering + Applications.

Optimization of real-time probabilistic model evaluation for online advertising

Jim Huang, Jonathan Lee Burstein, 2015 .

A baker’s dozen of new particle flows for nonlinear filters, Bayesian decisions and transport

Fred Daum, Jim Huang, F. Daum, 2015, Defense + Security Symposium.

Particle flow for nonlinear filters with log-homotopy

Fred Daum, Jim Huang, F. Daum, 2008, SPIE Defense + Commercial Sensing.

Numerical experiments for Coulomb's law particle flow for nonlinear filters

Fred Daum, Jim Huang, Arjang Noushin, 2011, Optical Engineering + Applications.

Seven dubious methods to mitigate stiffness in particle flow with non-zero diffusion for nonlinear filters, Bayesian decisions, and transport

Fred Daum, Jim Huang, F. Daum, 2014, Defense + Security Symposium.

Dynamic quasi-Monte Carlo for nonlinear filters

Fred Daum, Jim Huang, F. Daum, 2003, SPIE Defense + Commercial Sensing.