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Publication search results
found 40 matches
- 2024
- Homa Esfahanizadeh, Alejandro Cohen, Shlomo Shamai, Muriel Médard:
Successive Refinement in Large-Scale Computation: Advancing Model Inference Applications. CoRR abs/2402.07229 (2024) - 2023
- Tianrun Gao, Huihe Qiu, Lin Fu:
Multi-level adaptive particle refinement method with large refinement scale ratio and new free-surface detection algorithm for complex fluid-structure interaction problems. J. Comput. Phys. 473: 111762 (2023) - Weikun Chen, Ya-Feng Liu, Fan Liu, Yu-Hong Dai, Zhi-Quan Luo:
Towards Efficient Large-Scale Network Slicing: An LP Dynamic Rounding-and-Refinement Approach. IEEE Trans. Signal Process. 71: 615-630 (2023) - Yogeswar Lakshmi Narayanan, Hossein Fani:
RePair: An Extensible Toolkit to Generate Large-Scale Datasets for Query Refinement via Transformers. CIKM 2023: 5376-5380 - Kangjian Chen, Chenhao Qi, Octavia A. Dobre:
Beam Refinement for THz Extremely Large-Scale MIMO Systems Based on Gaussian Approximation. GLOBECOM 2023: 4002-4007 - 2022
- Daniel F. Puleri, Sayan Roychowdhury, Peter Balogh, John Gounley, Erik W. Draeger, Jeff Ames, Adebayo Adebiyi, Simbarashe Chidyagwai, Benjamín Hernández, Seyong Lee, Shirley V. Moore, Jeffrey S. Vetter, Amanda Randles:
High Performance Adaptive Physics Refinement to Enable Large-Scale Tracking of Cancer Cell Trajectory. CLUSTER 2022: 230-242 - Karishma Sharma, Emilio Ferrara, Yan Liu:
Construction of Large-Scale Misinformation Labeled Datasets from Social Media Discourse using Label Refinement. WWW 2022: 3755-3764 - Karishma Sharma, Emilio Ferrara, Yan Liu:
Construction of Large-Scale Misinformation Labeled Datasets from Social Media Discourse using Label Refinement. CoRR abs/2202.12413 (2022) - 2021
- Volkan Tunali:
Large-Scale Network Community Detection Using Similarity-Guided Merge and Refinement. IEEE Access 9: 78538-78552 (2021) - Jan Cychnerski, Tomasz Dziubich:
Segmentation Quality Refinement in Large-Scale Medical Image Dataset with Crowd-Sourced Annotations. ADBIS (Short Papers) 2021: 205-216 - Weikun Chen, Ya-Feng Liu, Yu-Hong Dai, Zhi-Quan Luo:
An Efficient Linear Programming Rounding-and-Refinement Algorithm for Large-Scale Network Slicing Problem. ICASSP 2021: 4735-4739 - Jan-Christoph Schmitz, Adrian Bauer, Anton Kummert:
Large-Scale Curb Extraction Based on 3D Deep Learning and Iterative Refinement Post-Processing. ICMLA 2021: 558-563 - Weikun Chen, Ya-Feng Liu, Yu-Hong Dai, Zhi-Quan Luo:
An efficient linear programming rounding-and-refinement algorithm for large-scale network slicing problem. CoRR abs/2102.02563 (2021) - Wei-Kun Chen, Ya-Feng Liu, Fan Liu, Yu-Hong Dai, Zhi-Quan Luo:
Towards Efficient Large-Scale Network Slicing: An LP Rounding-and-Refinement Approach. CoRR abs/2107.14404 (2021) - 2020
- Charalambos Poullis:
Large-Scale Urban Reconstruction with Tensor Clustering and Global Boundary Refinement. IEEE Trans. Pattern Anal. Mach. Intell. 42(5): 1132-1145 (2020) - Soumi Chattopadhyay, Ansuman Banerjee:
QoS Constrained Large Scale Web Service Composition Using Abstraction Refinement. IEEE Trans. Serv. Comput. 13(3): 529-544 (2020) - 2019
- Ksenia Bittner, Peter Reinartz, Marco Körner:
Late or Earlier Information Fusion From Depth and Spectral Data? Large-Scale Digital Surface Model Refinement by Hybrid-CGAN. CVPR Workshops 2019: 1471-1478 - Ksenia Bittner, Marco Körner, Peter Reinartz:
Late or Earlier Information Fusion from Depth and Spectral Data? Large-Scale Digital Surface Model Refinement by Hybrid-cGAN. CoRR abs/1904.09935 (2019) - 2018
- André Melo:
Automatic refinement of large-scale cross-domain knowledge graphs. University of Mannheim, Germany, 2018 - Vamsi Spandan, Detlef Lohse, Marco D. de Tullio, Roberto Verzicco:
A fast moving least squares approximation with adaptive Lagrangian mesh refinement for large scale immersed boundary simulations. J. Comput. Phys. 375: 228-239 (2018) - Ksenia Bittner, Marco Körner:
Automatic Large-Scale 3D Building Shape Refinement Using Conditional Generative Adversarial Networks. CVPR Workshops 2018: 1887-1889 - 2017
- Guénolé Harel, Jacques-Bernard Lekien, Philippe P. Pébaÿ:
Visualization and Analysis of Large-Scale, Tree-Based, Adaptive Mesh Refinement Simulations with Arbitrary Rectilinear Geometry. CoRR abs/1702.04852 (2017) - 2016
- Andreas Fürst, Thai Son Hoang, David A. Basin, Naoto Sato, Kunihiko Miyazaki:
Large-scale system development using Abstract Data Types and refinement. Sci. Comput. Program. 131: 59-75 (2016) - Soumi Chattopadhyay, Ansuman Banerjee:
QoS constrained Large Scale Web Service Composition using Abstraction Refinement. CoRR abs/1608.08799 (2016) - 2015
- Yanmin Zhu, Yin Wang, George Forman, Hong Wei:
Mining Large-Scale GPS Streams for Connectivity Refinement of Road Maps. Comput. J. 58(9): 2109-2119 (2015) - Marko Ristin, Juergen Gall, Matthieu Guillaumin, Luc Van Gool:
From categories to subcategories: Large-scale image classification with partial class label refinement. CVPR 2015: 231-239 - Ruowen Wang, William Enck, Douglas S. Reeves, Xinwen Zhang, Peng Ning, Dingbang Xu, Wu Zhou, Ahmed M. Azab:
EASEAndroid: Automatic Policy Analysis and Refinement for Security Enhanced Android via Large-Scale Semi-Supervised Learning. USENIX Security Symposium 2015: 351-366 - 2014
- Boonthanome Nouanesengsy, Jonathan Woodring, John Patchett, Kary L. Myers, James P. Ahrens:
ADR visualization: A generalized framework for ranking large-scale scientific data using Analysis-Driven Refinement. LDAV 2014: 43-50 - 2013
- Yanheng Zhang, Chris Chu:
Fast and Effective Placement Refinement for Routability. IEEE Trans. Very Large Scale Integr. Syst. 21(9): 1751-1756 (2013) - Yin Wang, Hong Wei, George Forman:
Mining large-scale gps streams for connectivity refinement of road maps. SIGSPATIAL/GIS 2013: 438-441
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