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Books and Theses
- 2014
[b1]Dongzhen Piao:
Speeding Up Gibbs Sampling in Probabilistic Optical Flow. Carnegie Mellon University, USA, 2014
Conference and Workshop Papers
- 2018
- [c6]Ole J. Mengshoel, Priya Krishnan Sundararajan, Erik Reed, Dongzhen Piao, Briana Johnson:
Renewable Energy Integration: Bayesian Networks for Probabilistic State Estimation. DARE@PKDD/ECML 2018: 63-82 - 2014
- [c5]Dongzhen Piao, Prahlad G. Menon
, Ole J. Mengshoel:
Computing Probabilistic Optical Flow Using Markov Random Fields. CompIMAGE 2014: 241-247 - 2013
- [c4]Avneesh Saluja, Mahdi Pakdaman, Dongzhen Piao, Ankur P. Parikh:
Infinite Mixed Membership Matrix Factorization. ICDM Workshops 2013: 800-807 - 2011
- [c3]Jiang Zhu, Fei Xiong, Dongzhen Piao, Yun Liu, Ying Zhang:
Statistically Modeling the Effectiveness of Disaster Information in Social Media. GHTC 2011: 431-436 - [c2]Huan-Kai Peng, Jiang Zhu, Dongzhen Piao, Rong Yan, Ying Zhang:
Retweet Modeling Using Conditional Random Fields. ICDM Workshops 2011: 336-343 - 2010
- [c1]Maria Gorlatova, Tarun Sharma, Deep Shrestha, Enlin Xu, Jiasi Chen, Abraham Skolnik, Dongzhen Piao, Peter R. Kinget, Ioannis Kymissis, Dan Rubenstein, Gil Zussman:
Prototyping Energy Harvesting Active Networked Tags (EnHANTs) with MICA2 Motes. SECON 2010: 1-3
Informal and Other Publications
- 2014
- [i1]Avneesh Saluja, Mahdi Pakdaman, Dongzhen Piao, Ankur P. Parikh:
Infinite Mixed Membership Matrix Factorization. CoRR abs/1401.3413 (2014)
Coauthor Index
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