Projects per year
Fingerprint Dive into the research topics where Computer Science is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
Data storage equipment
Engineering & Materials Science
Polynomials
Engineering & Materials Science
Data structures
Engineering & Materials Science
Communication
Engineering & Materials Science
Hardware
Engineering & Materials Science
Internet
Engineering & Materials Science
Semantics
Engineering & Materials Science
Network protocols
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2006 2024
CNS Core: Small: Scaling Coordination for Microservices with Pangaea
NSF - National Science Foundation
10/1/19 → 9/30/22
Project: Research project
NSF Student Travel Grant for 2019 Algorithmic Game Theory (AGT) Mentoring Workshop Co-Located with Economics and Computation (EC)
NSF - National Science Foundation
7/1/19 → 6/30/20
Project: Research project
Game theory
Students
Economics
Research Output 1970 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 proceeding › Conference contribution
Program processors
Convolution
Magnetic resonance imaging
Image analysis
Microscopic examination
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 proceeding › Conference contribution
Template matching
Supervised learning
Bandpass filters
Learning algorithms
Computer vision
(Near) optimal adaptivity gaps for stochastic multi-value probing
Bradac, D., Singla, S. & Zuzic, G., Sep 2019, Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques, APPROX/RANDOM 2019. Achlioptas, D. & Vegh, L. A. (eds.). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 49. (Leibniz International Proceedings in Informatics, LIPIcs; vol. 145).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Random variables
Probability distributions
Testing
Costs