Cross-model convolutional neural network for multiple modality data representation

Author:

Wu Yanbin,Wang Li,Cui Fan,Zhai Hongbin,Dong Baoming,Wang Jing-Yan

Funder

Natural Science Foundation of Hebei Province

Talent Training Project of Hebei Province

Young Prominent Talent Project of Hebei Province Higher School

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference38 articles.

1. Boyd S, Parikh N, Chu E, Peleato B, Eckstein J (2011) Distributed optimization and statistical learning via the alternating direction method of multipliers. Found Trends Mach Learn 3(1):1–122

2. Chen A, Sriraman A, Vaidya T, Zhang Y, Haeberlen A, Loo BT, Phan LTX, Sherr M, Shields C, Zhou W (2016) Dispersing asymmetric DDOS attacks with splitstack. In: The 15th workshop on hot topics in networks (HotNets’16). ACM

3. Chen A, Wu Y, Haeberlen A, Loo BT, Zhou W (2017) Data provenance at internet scale: architecture, experiences, and the road ahead. In: The biennial conference on innovative data systems research (CIDR ’17)

4. Chen A, Wu Y., Haeberlen A, Zhou W, Loo BT (2015) Differential provenance: better network diagnostics with reference events. In: The 14th ACM workshop on hot topics in networks (HotNets ’15). ACM

5. Chen C, Kolmogorov V, Zhu Y, Metaxas D, Lampert C (2013) Computing the m most probable modes of a graphical model. In: Proceedings of the sixteenth international conference on artificial intelligence and statistics, pp 161–169

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