Center for Statistics & Machine Learning

Fingerprint Dive into the research topics where Center for Statistics & Machine Learning is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.

Communication Engineering & Materials Science
Code division multiple access Engineering & Materials Science
Learning Medicine & Life Sciences
Multiuser detection Engineering & Materials Science
Genes Engineering & Materials Science
Transmitters Engineering & Materials Science
Feedback Engineering & Materials Science
Wireless networks Engineering & Materials Science

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Research Output 1972 2020

A Learning-to-Infer Method for Real-Time Power Grid Multi-Line Outage Identification

Zhao, Y., Chen, J. & Poor, H. V., Jan 2020, In : IEEE Transactions on Smart Grid. 11, 1, p. 555-564 10 p., 8747534.

Princeton University

Research output: Contribution to journalArticle

Outages
Electric power transmission networks
Flow simulation
Power transmission
Classifiers

PZnet: Efficient 3D ConvNet Inference on Manycore CPUs

Popovych, S., Buniatyan, D., Zlateski, A., Li, K. & Seung, H. S., Jan 1 2020, Advances in Computer Vision - Proceedings of the 2019 Computer Vision Conference CVC. Kapoor, S. & Arai, K. (eds.). Springer Verlag, p. 369-383 15 p. (Advances in Intelligent Systems and Computing; vol. 943).

Princeton University

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Program processors
Convolution
Magnetic resonance imaging
Image analysis
Microscopic examination

Secure Communication and Identification Systems - Effective Performance Evaluation on Turing Machines

Boche, H., Schaefer, R. F. & Poor, H. V., Jan 1 2020, In : IEEE Transactions on Information Forensics and Security. 15, p. 1013-1025 13 p., 8782581.

Princeton University

Research output: Contribution to journalArticle

Turing machines
Communication systems
Computer architecture
Network protocols
Secure communication