Tan Lu

According to our database, Tan Lu authored at least 11 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Table representation learning using heterogeneous graph embedding.

Willy Carlos Tchuitcheu, Tan Lu, Ann Dooms

Pattern Recognit., 2024

2021

Bayesian damage recognition in document images based on a joint global and local homogeneity model.

Tan Lu, Ann Dooms

Pattern Recognit., 2021

Probabilistic homogeneity for document image segmentation.

Tan Lu, Ann Dooms

Pattern Recognit., 2021

2020

A Novel Contractive GAN Model for a Unified Approach Towards Blind Quality Assessment of Images from Heterogeneous Sources.

Tan Lu, Ann Dooms

Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020

2019

A Deep Transfer Learning Approach to Document Image Quality Assessment.

Tan Lu, Ann Dooms

Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

2018

Towards Physical Distortion Identification and Removal in Document Images.

Tan Lu, Ann Dooms

Proceedings of the 7th European Workshop on Visual Information Processing, 2018

2013

Simple and Effective Dynamic Provisioning for Power-Proportional Data Centers.

Tan Lu, Minghua Chen, Lachlan L. H. Andrew

IEEE Trans. Parallel Distributed Syst., 2013

2012

Simple and effective dynamic provisioning for power-proportional data centers.

Tan Lu, Minghua Chen

Proceedings of the 46th Annual Conference on Information Sciences and Systems, 2012

2011

Simple and Effective Dynamic Provisioning for Power-Proportional Data Centers

Tan Lu, Minghua Chen

CoRR, 2011

2009

Robust Locally Linear Embedding and Application in High Dimensional Data.

Tan Lu

Proceedings of the Fifth International Conference on Natural Computation, 2009

2004

Using a utility computing framework to develop utility systems.

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

IBM Syst. J., 2004