SPARSE BAYESIAN LEARNING
Experts
- Bhaskar D. Rao
- Peter Gerstoft
- Jisheng Dai
- Jun Fang
- Chandra R. Murthy
- Christoph F. Mecklenbräuker
- Qinghua Guo
- Santosh Nannuru
- Hongbin Li
- Dmitriy Shutin
- Guoan Bi
- Christo Kurisummoottil Thomas
- Zhilin Zhang
- Nan Hu
- Ranjitha Prasad
- Dirk T. M. Slock
- Zhongfu Ye
- Yanning Shen
- Chongwen Huang
- Wenbin Guo
- Fengzhou Dai
- Kay L. Gemba
- Chunqi Chang
- Ling Hong
- Saurabh Khanna
- David P. Wipf
- Jesper Rindom Jensen
- Mads Græsbøll Christensen
- Xiang Li
- Scott Makeig
- Ying Li
- Rajarshi Guhaniyogi
- Derrick Wing Kwan Ng
- Alexander Lin
- Lei Yang
- Jiajun Wang
- Feifei Gao
- Aditya K. Jagannatham
- Zhaoji Zhang
Venues
- CoRR
- ICASSP
- IEEE Trans. Signal Process.
- IEEE Access
- Signal Process.
- Sensors
- ACSSC
- IEEE Signal Process. Lett.
- IEEE Trans. Geosci. Remote. Sens.
- Comput. Stat. Data Anal.
- NeuroImage
- IEEE Trans. Veh. Technol.
- Comput. Stat.
- J. Mach. Learn. Res.
- EUSIPCO
- ICML
- IEEE Trans. Instrum. Meas.
- NIPS
- Remote. Sens.
- IEEE Trans. Pattern Anal. Mach. Intell.
- Digit. Signal Process.
- SSP
- IEEE Commun. Lett.
- Stat. Comput.
- Commun. Stat. Simul. Comput.
- NeurIPS
- GLOBECOM
- IEEE Trans. Commun.
- IEEE Trans. Medical Imaging
- ISBI
- Appl. Soft Comput.
- IGARSS
- J. Multivar. Anal.
- SAM
- WCSP
- Synth.
- AISTATS
- Bioinform.
- IEEE Geosci. Remote. Sens. Lett.
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