Research Output per year
Fingerprint Dive into the research topics where Gautam Dasarathy is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
Covariance matrix
Engineering & Materials Science
Active Learning
Mathematics
Graphical Models
Mathematics
Phylogenetics
Mathematics
Model Selection
Mathematics
Recovery
Engineering & Materials Science
Learning algorithms
Engineering & Materials Science
Tomography
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2010 2019
A data-driven and distributed approach to sparse signal representation and recovery
Mousavi, A., Dasarathy, G. & Baraniuk, R. G., Jan 1 2019.Research output: Contribution to conference › Paper
Recovery
Maximum likelihood
experiment
learning
Data-driven
Distance-Penalized Active Learning via Markov Decision Processes
Wang, D., Lipor, J. & Dasarathy, G., Jun 2019, 2019 IEEE Data Science Workshop, DSW 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 155-159 5 p. 8755602. (2019 IEEE Data Science Workshop, DSW 2019 - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Sampling
Costs
Classifiers
Problem-Based Learning
Gaussian Graphical Model Selection from Size Constrained Measurements
Dasarathy, G., Jul 2019, 2019 IEEE International Symposium on Information Theory, ISIT 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1302-1306 5 p. 8849299. (IEEE International Symposium on Information Theory - Proceedings; vol. 2019-July).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Gaussian Model
Graphical Models
Model Selection
Combinatorial Design
Requirements
1
Citation
(Scopus)
Quantile Search with Time-Varying Search Parameter
Lipor, J. & Dasarathy, G., Feb 19 2019, Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018. Matthews, M. B. (ed.). IEEE Computer Society, p. 1016-1018 3 p. 8645332. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2018-October).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Sampling
Tuning
Costs
Problem-Based Learning
10
Citations
(Scopus)
Conveying language through haptics: A multi-sensory approach
Dunkelberger, N., Sullivan, J., Bradley, J., Walling, N. P., Manickam, I., Dasarathy, G., Israr, A., Lau, F. W. Y., Klumb, K., Knott, B., Abnousi, F., Baraniuk, R. & O’Malley, M. K., Oct 8 2018, ISWC 2018 - Proceedings of the 2018 ACM International Symposium on Wearable Computers. Association for Computing Machinery, p. 25-32 8 p. (Proceedings - International Symposium on Wearable Computers, ISWC).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Conveying
Teaching
Acoustics
Communication