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Tan Lu
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2020 – today
- 2024
- [j5]Willy Carlos Tchuitcheu, Tan Lu, Ann Dooms:
Table representation learning using heterogeneous graph embedding. Pattern Recognit. 156: 110734 (2024) - 2021
- [j4]Tan Lu, Ann Dooms:
Probabilistic homogeneity for document image segmentation. Pattern Recognit. 109: 107591 (2021) - [j3]Tan Lu, Ann Dooms:
Bayesian damage recognition in document images based on a joint global and local homogeneity model. Pattern Recognit. 118: 108034 (2021) - 2020
- [c5]Tan Lu, Ann Dooms:
A Novel Contractive GAN Model for a Unified Approach Towards Blind Quality Assessment of Images from Heterogeneous Sources. ISVC (1) 2020: 27-38
2010 – 2019
- 2019
- [c4]Tan Lu, Ann Dooms:
A Deep Transfer Learning Approach to Document Image Quality Assessment. ICDAR 2019: 1372-1377 - 2018
- [c3]Tan Lu, Ann Dooms:
Towards Physical Distortion Identification and Removal in Document Images. EUVIP 2018: 1-6 - 2013
- [j2]Tan Lu, Minghua Chen, Lachlan L. H. Andrew:
Simple and Effective Dynamic Provisioning for Power-Proportional Data Centers. IEEE Trans. Parallel Distributed Syst. 24(6): 1161-1171 (2013) - 2012
- [c2]Tan Lu, Minghua Chen:
Simple and effective dynamic provisioning for power-proportional data centers. CISS 2012: 1-6 - 2011
- [i1]Tan Lu, Minghua Chen:
Simple and Effective Dynamic Provisioning for Power-Proportional Data Centers. CoRR abs/1112.0442 (2011)
2000 – 2009
- 2009
- [c1]Tan Lu:
Robust Locally Linear Embedding and Application in High Dimensional Data. ICNC (1) 2009: 299-306 - 2004
- [j1]Tamar Eilam, Karen Appleby, Jochen Breh, Gerd Breiter, Harald Daur, Sameh A. Fakhouri, Guerney D. H. Hunt, Tan Lu, Sandra D. Miller, Lily B. Mummert, John A. Pershing, Hendrik Wagner:
Using a utility computing framework to develop utility systems. IBM Syst. J. 43(1): 97-120 (2004)
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last updated on 2024-12-10 20:50 CET by the dblp team
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