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John Lipor
John Lipor
Verified email at pdx.edu - Homepage
Title
Cited by
Cited by
Year
Fourier-Based Transmit Beampattern Design Using MIMO Radar
J Lipor, S Ahmed, M Alouini
Signal Processing, IEEE Transactions on 62 (9), 2226-2235, 2014
1342014
Seizure detection using the phase-slope index and multichannel ECoG
P Rana, J Lipor, H Lee, W Van Drongelen, MH Kohrman, B Van Veen
IEEE Transactions on Biomedical Engineering 59 (4), 1125-1134, 2012
602012
Robust blind calibration via total least squares
J Lipor, L Balzano
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
462014
Determining the optimum wavelength pairs to use for molecular absorption thermometry based on the continuous-spectral lower-state energy
X An, AW Caswell, JJ Lipor, ST Sanders
Journal of Quantitative Spectroscopy and Radiative Transfer 112 (14), 2355-2362, 2011
282011
Subspace Clustering using Ensembles of -Subspaces
J Lipor, D Hong, YS Tan, L Balzano
arXiv preprint arXiv:1709.04744, 2017
26*2017
Clustering quality metrics for subspace clustering
J Lipor, L Balzano
Pattern Recognition 104, 107328, 2020
232020
Leveraging union of subspace structure to improve constrained clustering
J Lipor, L Balzano
International Conference on Machine Learning, 2130-2139, 2017
202017
Improving -Subspaces via Coherence Pursuit
A Gitlin, B Tao, L Balzano, J Lipor
IEEE Journal of Selected Topics in Signal Processing 12 (6), 1575-1588, 2018
192018
Distance-penalized active learning using quantile search
J Lipor, BP Wong, D Scavia, B Kerkez, L Balzano
IEEE Transactions on Signal Processing 65 (20), 5453-5465, 2017
142017
Optimized wavelength selection for molecular absorption thermometry
X An, AW Caswell, JJ Lipor, ST Sanders
Applied Spectroscopy 69 (4), 464-472, 2015
132015
When less is more: How increasing the complexity of machine learning strategies for geothermal energy assessments may not lead toward better estimates
SP Mordensky, JJ Lipor, J DeAngelo, ER Burns, CR Lindsey
Geothermics 110, 102662, 2023
112023
Margin-based active subspace clustering
J Lipor, L Balzano
2015 IEEE 6th International Workshop on Computational Advances in Multi …, 2015
102015
A supervised learning approach to water quality parameter prediction and fault detection
K Joslyn, J Lipor
2018 IEEE International Conference on Big Data (Big Data), 2511-2514, 2018
82018
Quantile search with time-varying search parameter
J Lipor, G Dasarathy
2018 52nd Asilomar Conference on Signals, Systems, and Computers, 1016-1018, 2018
82018
Predicting geothermal favorability in the Western United States by using machine learning: addressing challenges and developing solutions
SP Mordensky, JJ Lipor, J DeAngelo, ER Burns, CR Lindsey
Forty Seventh Workshop on Geothermal Reservoir Engineering, 2022
72022
DISTANCE-PENALIZED ACTIVE LEARNING VIA MARKOV DECISION PROCESSES
D Wang, J Lipor, G Dasarathy
Proceedings of 2019 IEEE Data Science Workshop (DSW), 2019
52019
Potential use of UNCD membranes as broadband vacuum windows at W-band frequencies
DM Springmann, S Ho, JH Booske, SM Drezdzon, JJ Lipor, ...
2008 IEEE International Vacuum Electronics Conference, 316-317, 2008
52008
A Novel Framework for Deep Learning from Pairwise Constraints
W Sheng, J Lipor
2020 54th Asilomar Conference on Signals, Systems, and Computers, 594-598, 2020
32020
Quantile search: A distance-penalized active learning algorithm for spatial sampling
J Lipor, L Balzano, B Kerkez, D Scavia
2015 53rd Annual Allerton Conference on Communication, Control, and …, 2015
32015
Closed form fourier-based transmit beamforming for MIMO radar
J Lipor, S Ahmed, MS Alouini
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
32014
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