Year |
Citation |
Score |
2019 |
Wei H, Zhu P, Liu M, How JP, Ferrari S. Automatic Pan–Tilt Camera Control for Learning Dirichlet Process Gaussian Process (DPGP) Mixture Models of Multiple Moving Targets Ieee Transactions On Automatic Control. 64: 159-173. DOI: 10.1109/Tac.2018.2849584 |
0.38 |
|
2016 |
Albertson JD, Harvey TA, Foderaro G, Zhu P, Zhou X, Ferrari S, Amin MS, Modrak M, Brantley HL, Thoma E. A Mobile Sensing Approach for Regional Surveillance of Fugitive Methane Emissions in Oil and Gas Production. Environmental Science & Technology. PMID 26807713 DOI: 10.1021/Acs.Est.5B05059 |
0.329 |
|
2016 |
Zhao S, Chen B, Cao Z, Zhu P, Principe JC. Self-organizing kernel adaptive filtering Eurasip Journal On Advances in Signal Processing. 2016. DOI: 10.1186/S13634-016-0406-3 |
0.717 |
|
2016 |
Lu W, Zhu P, Ferrari S. A Hybrid-Adaptive Dynamic Programming Approach for the Model-Free Control of Nonlinear Switched Systems Ieee Transactions On Automatic Control. 61: 3203-3208. DOI: 10.1109/Tac.2015.2509421 |
0.334 |
|
2016 |
Wei H, Lu W, Zhu P, Ferrari S, Liu M, Klein RH, Omidshafiei S, How JP. Information value in nonparametric Dirichlet-process Gaussian-process (DPGP) mixture models Automatica. 74: 360-368. DOI: 10.1016/J.Automatica.2016.07.018 |
0.397 |
|
2014 |
Zhu P, Chen B, Principe JC. Learning Nonlinear Generative Models of Time Series With a Kalman Filter in RKHS Ieee Transactions On Signal Processing. 62: 141-155. DOI: 10.1109/Tsp.2013.2283842 |
0.648 |
|
2013 |
Chen B, Zhao S, Zhu P, Príncipe JC. Quantized kernel recursive least squares algorithm. Ieee Transactions On Neural Networks and Learning Systems. 24: 1484-91. PMID 24808586 DOI: 10.1109/Tnnls.2013.2258936 |
0.748 |
|
2013 |
Lee J, Zhu P, Principe JC. A parameter-free kernel design based on cumulative distribution function for correntropy Proceedings of the International Joint Conference On Neural Networks. DOI: 10.1109/IJCNN.2013.6707021 |
0.362 |
|
2013 |
Zhu P, Principe JC. Analysis on extended kernel recursive least squares algorithm Proceedings of the International Joint Conference On Neural Networks. DOI: 10.1109/IJCNN.2013.6706865 |
0.628 |
|
2013 |
Zhu P, Principe JC. Kernel recurrent system trained by real-time recurrent learning algorithm Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 3572-3576. DOI: 10.1109/ICASSP.2013.6638323 |
0.464 |
|
2013 |
Zhao S, Chen B, Zhu P, Príncipe JC. Fixed budget quantized kernel least-mean-square algorithm Signal Processing. 93: 2759-2770. DOI: 10.1016/J.Sigpro.2013.02.012 |
0.745 |
|
2012 |
Chen B, Zhao S, Zhu P, Príncipe JC. Quantized kernel least mean square algorithm. Ieee Transactions On Neural Networks and Learning Systems. 23: 22-32. PMID 24808453 DOI: 10.1109/Tnnls.2011.2178446 |
0.75 |
|
2012 |
Zhu P, Chen B, Príncipe JC. A novel extended kernel recursive least squares algorithm. Neural Networks : the Official Journal of the International Neural Network Society. 32: 349-57. PMID 22326204 DOI: 10.1016/J.Neunet.2011.12.006 |
0.682 |
|
2012 |
Chen B, Zhu P, Principe JC. Survival Information Potential: A New Criterion for Adaptive System Training Ieee Transactions On Signal Processing. 60: 1184-1194. DOI: 10.1109/Tsp.2011.2178406 |
0.509 |
|
2012 |
Chen B, Zhao S, Zhu P, Príncipe JC. Mean square convergence analysis for kernel least mean square algorithm Signal Processing. 92: 2624-2632. DOI: 10.1016/J.Sigpro.2012.04.007 |
0.722 |
|
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