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Osman Emre Dai
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2020 – today
- 2024
- [b1]Osman Emre Dai:
Fundamental Limits and Algorithms for Database and Graph Alignment. Georgia Institute of Technology, Atlanta, GA, USA, 2024 - 2023
- [i3]Osman Emre Dai, Daniel Cullina, Negar Kiyavash:
Gaussian Database Alignment and Gaussian Planted Matching. CoRR abs/2307.02459 (2023) - 2020
- [c5]Osman Emre Dai, Daniel Cullina, Negar Kiyavash:
Achievability of nearly-exact alignment for correlated Gaussian databases. ISIT 2020: 1230-1235
2010 – 2019
- 2019
- [j2]Osman Emre Dai, Daniel Cullina, Negar Kiyavash, Matthias Grossglauser:
Analysis of a Canonical Labeling Algorithm for the Alignment of Correlated Erdos-Rényi Graphs. Proc. ACM Meas. Anal. Comput. Syst. 3(2): 36:1-36:25 (2019) - [c4]Osman Emre Dai, Daniel Cullina, Negar Kiyavash:
Database Alignment with Gaussian Features. AISTATS 2019: 3225-3233 - [c3]Osman Emre Dai, Daniel Cullina, Negar Kiyavash, Matthias Grossglauser:
Analysis of a Canonical Labeling Algorithm for the Alignment of Correlated Erdős-Rényi Graphs. SIGMETRICS (Abstracts) 2019: 97-98 - [i2]Osman Emre Dai, Daniel Cullina, Negar Kiyavash:
Database Alignment with Gaussian Features. CoRR abs/1903.01422 (2019) - 2018
- [j1]Osman Emre Dai, Begüm Demir, Bülent Sankur, Lorenzo Bruzzone:
A Novel System for Content-Based Retrieval of Single and Multi-Label High-Dimensional Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(7): 2473-2490 (2018) - [i1]Osman Emre Dai, Daniel Cullina, Negar Kiyavash, Matthias Grossglauser:
On the Performance of a Canonical Labeling for Matching Correlated Erdős-Rényi Graphs. CoRR abs/1804.09758 (2018) - 2017
- [c2]Osman Emre Dai, Begüm Demir, Bülent Sankur, Lorenzo Bruzzone:
A novel system for content based retrieval of multi-label remote sensing images. IGARSS 2017: 1744-1747 - [c1]Osman Emre Dai, Begüm Demir, Bülent Sankur, Lorenzo Bruzzone:
A novel system for content based retrieval of remote sensing images based on Bag of spectral values. SIU 2017: 1-4
Coauthor Index
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last updated on 2024-04-25 05:43 CEST by the dblp team
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