Pengming Feng

According to our database1, Pengming Feng
  • authored at least 15 papers between 2014 and 2018.
  • has a "Dijkstra number"2 of five.

Timeline

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Bibliography

2018
Polynomial dictionary learning algorithms in sparse representations.
Signal Processing, 2018

Particle PHD Filter Based Multiple Human Tracking Using Online Group-Structured Dictionary Learning.
IEEE Access, 2018

2017
Social Force Model-Based MCMC-OCSVM Particle PHD Filter for Multiple Human Tracking.
IEEE Trans. Multimedia, 2017

Kalman-Gain Aided Particle PHD Filter for Multitarget Tracking.
IEEE Trans. Aerospace and Electronic Systems, 2017

Matrix of Polynomials Model based Polynomial Dictionary Learning Method for Acoustic Impulse Response Modeling.
CoRR, 2017

Matrix of Polynomials Model Based Polynomial Dictionary Learning Method for Acoustic Impulse Response Modeling.
Proceedings of the Interspeech 2017, 2017

Particle PHD filter based multi-target tracking using discriminative group-structured dictionary learning.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Adaptive Retrodiction Particle PHD Filter for Multiple Human Tracking.
IEEE Signal Process. Lett., 2016

Robust particle PHD filter with sparse representation for multi-target tracking.
Proceedings of the 2016 IEEE International Conference on Digital Signal Processing, 2016

Social force model aided robust particle PHD filter for multiple human tracking.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
An unsupervised acoustic fall detection system using source separation for sound interference suppression.
Signal Processing, 2015

Localization based stereo speech separation using deep networks.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

A robust PHD filter with deep learning updating for multiple human tracking.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

A Robust student's-t distribution PHD filter with OCSVM updating for multiple human tracking.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Deep learning for posture analysis in fall detection.
Proceedings of the 19th International Conference on Digital Signal Processing, 2014


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