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Publication search results
found 21 matches
- 2023
- Shaowu Pan, Steven L. Brunton, J. Nathan Kutz:
Neural Implicit Flow: a mesh-agnostic dimensionality reduction paradigm of spatio-temporal data. J. Mach. Learn. Res. 24: 41:1-41:60 (2023) - 2022
- Bowen Yang, Zunhao Liu, Zhi Cai, Dongze Li, Xing Su, Limin Guo, Zhiming Ding:
A Novel Traffic Flow Reduction Method Based on Incomplete Vehicle History Spatio-Temporal Trajectory Data. ISPRS Int. J. Geo Inf. 11(3): 209 (2022) - Oliver Grothe, Jonas Rieger:
SVD-reduction of high-dimensional German spatio-temporal wind speed data and clusters of similarity. e-Energy 2022: 515-520 - Jana Koteich, Christian Salim, Nathalie Mitton:
Spatio-Temporal Data Reduction Technique in WVSN for Smart Agriculture. WiMob 2022: 345-350 - Shaowu Pan, Steven L. Brunton, J. Nathan Kutz:
Neural Implicit Flow: a mesh-agnostic dimensionality reduction paradigm of spatio-temporal data. CoRR abs/2204.03216 (2022) - 2021
- Liam Steadman, Nathan Griffiths, Stephen Andrew Jarvis, Mark Bell, Shaun Helman, Caroline Wallbank:
kD-STR: A Method for Spatio-Temporal Data Reduction and Modelling. Trans. Data Sci. 2(3): 17:1-17:31 (2021) - 2020
- Andreas Kofler, Marc Dewey, Tobias Schaeffter, Christian Wald, Christoph Kolbitsch:
Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI With Limited Training Data. IEEE Trans. Medical Imaging 39(3): 703-717 (2020) - Liam Steadman, Nathan E. Griffiths, Stephen A. Jarvis, Mark Bell, Shaun Helman, Caroline Wallbank:
kD-STR: A Method for Spatio-Temporal Data Reduction and Modelling. CoRR abs/2005.08111 (2020) - 2019
- Andreas Kofler, Marc Dewey, Tobias Schaeffter, Christian Wald, Christoph Kolbitsch:
Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI with Limited Data. CoRR abs/1904.01574 (2019) - 2016
- Min Wang, Shuyuan Yang, Bin Wu:
Hierarchical Representation Learning based spatio-temporal data redundancy reduction. Neurocomputing 173: 298-305 (2016) - Michael Whelan, Nhien-An Le-Khac, M. Tahar Kechadi:
Data Reduction in Very Large Spatio-Temporal Data Sets. CoRR abs/1609.00988 (2016) - 2014
- Ayush Shrestha, Ying Zhu, Yan Zhu:
Visual Cluttering Reduction for Visualizing Large Spatio-temporal Data Sets. CSE 2014: 137-143 - 2013
- Heemin Park, Young-Jun Lee, Jinseok Chae, Wonik Choi:
Online Approach for Spatio-Temporal Trajectory Data Reduction for Portable Devices. J. Comput. Sci. Technol. 28(4): 597-604 (2013) - 2011
- Carlos Giovanni Carvalho, Danielo Gonçalves Gomes, Nazim Agoulmine, José Neuman de Souza:
Improving Prediction Accuracy for WSN Data Reduction by Applying Multivariate Spatio-Temporal Correlation. Sensors 11(11): 10010-10037 (2011) - Sriram Lakshminarasimhan, Neil Shah, Stéphane Ethier, Scott Klasky, Robert Latham, Robert B. Ross, Nagiza F. Samatova:
Compressing the Incompressible with ISABELA: In-situ Reduction of Spatio-temporal Data. Euro-Par (1) 2011: 366-379 - 2010
- Nhien-An Le-Khac, Martin Bue, Michael Whelan, M. Tahar Kechadi:
A Clustering-Based Data Reduction for Very Large Spatio-Temporal Datasets. ADMA (2) 2010: 43-54 - Michael Whelan, Nhien-An Le-Khac, M. Tahar Kechadi:
Data Reduction in Very Large Spatio-Temporal Datasets. WETICE 2010: 104-109 - 2009
- Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic:
Reduction of ground-based sensor sites for spatio-temporal analysis of aerosols. KDD Workshop on Knowledge Discovery from Sensor Data 2009: 71-78 - Spatio-Temporal Data Reduction. Encyclopedia of Database Systems 2009: 2730
- 2006
- Hu Cao, Ouri Wolfson, Goce Trajcevski:
Spatio-temporal data reduction with deterministic error bounds. VLDB J. 15(3): 211-228 (2006) - 2003
- Hu Cao, Ouri Wolfson, Goce Trajcevski:
Spatio-temporal data reduction with deterministic error bounds. DIALM-POMC 2003: 33-42
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