( en | de | ru )

 

Disambiguation of "Song, Bin"

Author of the publication

copydeleteadd this publication to your clipboard
TP+Close: Mining Frequent Closed Patterns in Gene Expression Datasets.

, , , and . VDMB, volume 4316 of Lecture Notes in Computer Science, page 120-130. Springer, (2006)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Bin Song

Song Song

Song Song

Bin Zhao

Bin Xu

 

Other publications of authors with the same name

An Algorithmic Approach to Streamlining Product Carbon Footprint Quantification: A Case Study on Sheet Metal Parts., , , , and . IJAT, 6 (3): 312-321 (2012)Resource Allocation in Information-Centric Wireless Networking With D2D-Enabled MEC: A Deep Reinforcement Learning Approach., , , , and . IEEE Access, (2019)Monopolistic Models for Resource Allocation: A Probabilistic Reinforcement Learning Approach., , , , and . IEEE Access, (2018)Resource Management for Edge Intelligence (EI)-Assisted IoV Using Quantum-Inspired Reinforcement Learning., , , , , and . IEEE Internet Things J., 9 (14): 12588-12600 (2022)Dictionary learning based reconstruction for distributed compressed video sensing., , , and . J. Vis. Commun. Image Represent., 24 (8): 1232-1242 (2013)Human eye location algorithm based on multi-scale self-quotient image and morphological filtering for multimedia big data., , and . Multim. Tools Appl., 77 (8): 10063-10075 (2018)Adaptive Intra Refresh for Robust H.264/AVC Transmission., , , and . IEICE Trans. Commun., 91-B (11): 3796-3798 (2008)A Rotational Libra R-CNN Method for Ship Detection., , , , and . IEEE Trans. Geosci. Remote. Sens., 58 (8): 5772-5781 (2020)D2N4: A Discriminative Deep Nearest Neighbor Neural Network for Few-Shot Space Target Recognition., , and . IEEE Trans. Geosci. Remote. Sens., 58 (5): 3667-3676 (2020)Market-Based Model in CR-IoT: A Q-Probabilistic Multi-Agent Reinforcement Learning Approach., , , , and . IEEE Trans. Cogn. Commun. Netw., 6 (1): 179-188 (2020)