| Cloud K-SVD: A collaborative dictionary learning algorithm for big, distributed data H Raja, WU Bajwa IEEE Transactions on Signal Processing 64 (1), 173-188, 2015 | 116 | 2015 |
| Tensor regression using low-rank and sparse Tucker decompositions T Ahmed, H Raja, WU Bajwa SIAM Journal on Mathematics of Data Science 2 (4), 944-966, 2020 | 32 | 2020 |
| Fast and communication-efficient distributed PCA A Gang, H Raja, WU Bajwa ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 23 | 2019 |
| Cloud K-SVD: Computing data-adaptive representations in the cloud H Raja, WU Bajwa 2013 51st Annual Allerton Conference on Communication, Control, and …, 2013 | 20 | 2013 |
| Scaling-up distributed processing of data streams for machine learning M Nokleby, H Raja, WU Bajwa Proceedings of the IEEE 108 (11), 1984-2012, 2020 | 17 | 2020 |
| Distributed stochastic algorithms for high-rate streaming principal component analysis H Raja, WU Bajwa Transactions on Machine Learning Research, 2022 | 10 | 2022 |
| Dictionary learning based nonlinear classifier training from distributed data Z Shakeri, H Raja, WU Bajwa 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2014 | 9 | 2014 |
| Parametric dictionary learning for TWRI using distributed particle swarm optimization H Raja, WU Bajwa, F Ahmad, MG Amin 2016 IEEE Radar Conference (RadarConf), 1-5, 2016 | 8 | 2016 |
| Using domain-augmented federated learning to model thermostatically controlled loads A Balint, H Raja, J Driesen, H Kazmi IEEE Transactions on Smart Grid 14 (5), 4116-4124, 2023 | 6 | 2023 |
| A convergence analysis of distributed dictionary learning based on the k-svd algorithm H Raja, WU Bajwa 2015 IEEE International Symposium on Information Theory (ISIT), 2186-2190, 2015 | 4 | 2015 |
| Through-the-wall radar imaging using a distributed quasi-Newton method H Raja, WU Bajwa, F Ahmad 2017 51st Asilomar Conference on Signals, Systems, and Computers, 85-89, 2017 | 3 | 2017 |
| Detecting national political unrest on twitter H Raja, MU Ilyas, S Saleh, AX Liu, H Radha 2016 IEEE International Conference on Communications (ICC), 1-7, 2016 | 3 | 2016 |
| Dynamic Subspace Estimation with Grassmannian Geodesics CJ Blocker, H Raja, JA Fessler, L Balzano arXiv preprint arXiv:2303.14851, 2023 | 2 | 2023 |
| Throughput enhancement by cross-layer header compression in WLANs HS Kazmi, H Raja 2010 16th Asia-Pacific Conference on Communications (APCC), 329-333, 2010 | 2 | 2010 |
| Nonconvex Representation Learning from Distributed Datasets H Raja Rutgers The State University of New Jersey, School of Graduate Studies, 2019 | 1 | 2019 |
| Rate-distortion optimized transcoder selection for multimedia transmission in heterogeneous networks H Raja, SB Qaisar International Conference on Computational Science and Its Applications, 407-418, 2012 | 1 | 2012 |
| Recent developments in distributed dictionary learning H Raja, WU Bajwa 2017 51st Annual Conference on Information Sciences and Systems (CISS), 1-1, 2017 | | 2017 |
| Learning overcomplete representations from distributed data: a brief review H Raja, WU Bajwa Compressive Sensing V: From Diverse Modalities to Big Data Analytics 9857 …, 2016 | | 2016 |
| DIMACS Workshop on Distributed Optimization, Information Processing, and Learning MA Chang, A Daneshmand, M Eisen, S Gade, K Gatsis, D Hajinezhad, ... | | |
Waheed U. BajwaProfessor of Electrical & Computer Engineering and Statistics, Rutgers University在 rutgers.edu 的电子邮件经过验证
