Statistics & Machine Learning

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

quasars Physics & Astronomy
galaxies Physics & Astronomy
Communication Engineering & Materials Science
Code division multiple access Engineering & Materials Science
Multiuser detection Engineering & Materials Science
Transmitters Engineering & Materials Science
Base stations Engineering & Materials Science
Wireless networks Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1972 2020

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).

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

Program processors
Convolution
Magnetic resonance imaging
Image analysis
Microscopic examination

Secure Relaying in Non-Orthogonal Multiple Access: Trusted and Untrusted Scenarios

Arafa, A., Shin, W., Vaezi, M. & Poor, H. V., Jan 1 2020, In : IEEE Transactions on Information Forensics and Security. 15, 1, p. 210-222 13 p., 8691580.

Research output: Contribution to journalArticle

Jamming
Base stations
Beamforming

Weakly Supervised Deep Metric Learning for Template Matching

Buniatyan, D., Popovych, S., Ih, D., Macrina, T., Zung, J. & 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. 39-58 20 p. (Advances in Intelligent Systems and Computing; vol. 943).

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

Template matching
Supervised learning
Bandpass filters
Learning algorithms
Computer vision