Projects per year
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Dive into the research topics where Waheed Uz Zaman Bajwa is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
- 3 Finished
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CIF: SMALL: ACTIVE DATA SCREENING FOR EFFICIENT FEATURE LEARNING
National Science Foundation (National Science Foundation (NSF))
9/1/15 → 8/31/16
Project: Research project
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SIGNAL PROCESSING--OPTICS CO-DESIGN FOR IN VIVO OPTICAL BIOPSY
National Science Foundation (National Science Foundation (NSF))
7/1/15 → 6/30/18
Project: Research project
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CIF: III: SMALL: HIGH-DIMENSIONAL LINEAR MODELS? BRING 'EM ON!
National Science Foundation (National Science Foundation (NSF))
9/1/12 → 8/31/15
Project: Research project
Research output
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A Hybrid Model-Based and Learning-Based Approach for Classification Using Limited Number of Training Samples
Nooraiepour, A., Bajwa, W. & Mandayam, N., 2022, In: IEEE Open Journal of Signal Processing. 3, p. 49-70 22 p.Research output: Contribution to journal › Article › peer-review
Open Access -
A linearly convergent algorithm for distributed principal component analysis
Gang, A. & Bajwa, W. U., Apr 2022, In: Signal Processing. 193, 108408.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression
Taki, B., Ghassemi, M., Sarwate, A. D. & Bajwa, W. U., 2021, 55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021. Matthews, M. B. (ed.). IEEE Computer Society, p. 477-484 8 p. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2021-October).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Distributed principal subspace analysis for partitioned big data: Algorithms, analysis, and implementation
Gang, A., Xiang, B. & Bajwa, W. U., 2021, In: IEEE Transactions on Signal and Information Processing over Networks. 7, p. 699-715 17 p.Research output: Contribution to journal › Article › peer-review
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Hyphylearn: A Domain Adaptation-Inspired Approach to Classification Using Limited Number of Training Samples
Nooraiepour, A., Bajwa, W. U. & Mandayam, N. B., 2021, 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing, MLSP 2021. IEEE Computer Society, (IEEE International Workshop on Machine Learning for Signal Processing, MLSP; vol. 2021-October).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations