2 code implementations • 22 Sep 2022 • Sasun Hambardzumyan, Abhinav Tuli, Levon Ghukasyan, Fariz Rahman, Hrant Topchyan, David Isayan, Mark McQuade, Mikayel Harutyunyan, Tatevik Hakobyan, Ivo Stranic, Davit Buniatyan
Traditional data lakes provide critical data infrastructure for analytical workloads by enabling time travel, running SQL queries, ingesting data with ACID transactions, and visualizing petabyte-scale datasets on cloud storage.
no code implementations • 16 Oct 2019 • Davit Buniatyan
Training and deploying deep learning models in real-world applications require processing large amounts of data.
no code implementations • 4 Apr 2019 • Eric Mitchell, Stefan Keselj, Sergiy Popovych, Davit Buniatyan, H. Sebastian Seung
We show that siamese encoding enables more accurate alignment than the image pyramids of SPyNet, a previous deep learning approach to coarse-to-fine alignment.
no code implementations • 18 Mar 2019 • Sergiy Popovych, Davit Buniatyan, Aleksandar Zlateski, Kai Li, H. Sebastian Seung
Convolutional nets have been shown to achieve state-of-the-art accuracy in many biomedical image analysis tasks.
no code implementations • 24 May 2017 • Davit Buniatyan, Thomas Macrina, Dodam Ih, Jonathan Zung, H. Sebastian Seung
Template matching by normalized cross correlation (NCC) is widely used for finding image correspondences.