Projects per year
Fingerprint The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.
- 9 Similar Profiles
Compressed sensing
Engineering & Materials Science
Glossaries
Engineering & Materials Science
Sampling
Engineering & Materials Science
Recovery
Engineering & Materials Science
Channel estimation
Engineering & Materials Science
Signal reconstruction
Engineering & Materials Science
Maximum likelihood
Engineering & Materials Science
Signal detection
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2010 2022
Imaging Human Brain Function with Minimal Mobility Restr
Garwood, M., Adriany, G., Ghose, G. M. & Haupt, J. D.
NIH NATL INST OF BIOMEDICAL IM
9/30/17 → 6/30/22
Project: Research project
Neuroimaging
Fundamental Analyses and Techniques of Plenoptic Imaging
Leger, J. R., Haupt, J. D., Meyer, G. W. & Talghader, J. J.
USDOD DEFENSE ADV RES PROJECTS
1/18/16 → 4/30/20
Project: Research project
Model-Based Matrix Completion: A Paradigm for Imputation
SPACE & NAVAL WARFARE SYSTEMS COMMAND
9/25/14 → 3/24/19
Project: Research project
laser
vehicle
Spectral Tweets: A Community Paradigm for Spatio-tempora
Sidiropoulos, N., Giannakis, G. B. & Haupt, J. D.
9/1/12 → 8/31/16
Project: Research project
Research Output 2005 2018
Communication-Efficient distributed optimization for sparse learning via two-way truncation
Ren, J., Li, X. & Haupt, J. D., Mar 9 2018, 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017. Institute of Electrical and Electronics Engineers Inc., Vol. 2017-December. p. 1-5 5 p. 8313109Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Distributed Optimization
Truncation
learning
communication
optimization
Minimax Lower Bounds for Noisy Matrix Completion under Sparse Factor Models
Sambasivan, A. V. & Haupt, J. D., May 1 2018, In : IEEE Transactions on Information Theory. 64, 5, p. 3274-3285 12 p.Research output: Contribution to journal › Article
scenario
corruption
Maximum likelihood
Robust Low-Complexity methods for matrix column outlier identification
Li, X. & Haupt, J. D., Mar 9 2018, 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017. Institute of Electrical and Electronics Engineers Inc., Vol. 2017-December. p. 1-5 5 p. 8313071Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Outlier Identification
Low Complexity
Outlier
Low-rank Matrices
matrices
Robust PCA via Dictionary Based Outlier Pursuit
Li, X., Ren, J., Rambhatla, S., Xu, Y. & Haupt, J. D., Sep 10 2018, 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-April. p. 4699-4703 5 p. 8461593Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Glossaries
Recovery
Experiments
Hyperspectral imaging
Target-based hyperspectral demixing via generalized robust PCA
Rambhatla, S., Li, X. & Haupt, J. D., Apr 10 2018, Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017. Institute of Electrical and Electronics Engineers Inc., Vol. 2017-October. p. 420-424 5 p. 8335372Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Glossaries
Spectral Response
Hyperspectral Image
dictionaries
Target