Članci s nalozima za javni pristup - Stephen ChuSaznajte više
Nije dostupno nigdje: 1
Consistency-driven alternating optimization for multigraph matching: A unified approach
J Yan, J Wang, H Zha, X Yang, S Chu
IEEE Transactions on Image Processing 24 (3), 994-1009, 2015
Nalozi: National Natural Science Foundation of China
Dostupno negdje: 20
Modeling the intensity function of point process via recurrent neural networks
S Xiao, J Yan, X Yang, H Zha, S Chu
Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017
Nalozi: US National Science Foundation, National Natural Science Foundation of China
Multi-graph matching via affinity optimization with graduated consistency regularization
J Yan, M Cho, H Zha, X Yang, SM Chu
IEEE transactions on pattern analysis and machine intelligence 38 (6), 1228-1242, 2015
Nalozi: US National Institutes of Health, National Natural Science Foundation of China
On Modeling and Predicting Individual Paper Citation Count over Time.
S Xiao, J Yan, C Li, B Jin, X Wang, X Yang, SM Chu, H Zha
Ijcai, 2676-2682, 2016
Nalozi: National Natural Science Foundation of China
On machine learning towards predictive sales pipeline analytics
J Yan, C Zhang, H Zha, M Gong, C Sun, J Huang, S Chu, X Yang
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
Nalozi: US National Institutes of Health, National Natural Science Foundation of China
Discrete hyper-graph matching
J Yan, C Zhang, H Zha, W Liu, X Yang, SM Chu
Proceedings of the IEEE conference on computer vision and pattern …, 2015
Nalozi: National Natural Science Foundation of China
On predictive patent valuation: Forecasting patent citations and their types
X Liu, J Yan, S Xiao, X Wang, H Zha, S Chu
Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017
Nalozi: National Natural Science Foundation of China
Emotion recognition from speech via boosted Gaussian mixture models
H Tang, SM Chu, M Hasegawa-Johnson, TS Huang
2009 IEEE International Conference on Multimedia and Expo, 294-297, 2009
Nalozi: US National Institutes of Health
Low-rank matrix approximation with stability
D Li, C Chen, Q Lv, J Yan, L Shang, S Chu
International Conference on Machine Learning, 295-303, 2016
Nalozi: US National Science Foundation, National Natural Science Foundation of China
Sales pipeline win propensity prediction: A regression approach
J Yan, M Gong, C Sun, J Huang, SM Chu
2015 IFIP/IEEE International Symposium on Integrated Network Management (IM …, 2015
Nalozi: National Natural Science Foundation of China
Mixture-rank matrix approximation for collaborative filtering
D Li, C Chen, W Liu, T Lu, N Gu, S Chu
Advances in Neural Information Processing Systems 30, 2017
Nalozi: National Natural Science Foundation of China
AdaError: An adaptive learning rate method for matrix approximation-based collaborative filtering
D Li, C Chen, Q Lv, H Gu, T Lu, L Shang, N Gu, SM Chu
Proceedings of the 2018 world wide web conference, 741-751, 2018
Nalozi: US National Science Foundation, National Natural Science Foundation of China
MPMA: Mixture Probabilistic Matrix Approximation for Collaborative Filtering.
C Chen, D Li, Q Lv, J Yan, SM Chu, L Shang
IJCAI, 1382-1388, 2016
Nalozi: US National Science Foundation, National Natural Science Foundation of China
A matrix decomposition perspective to multiple graph matching
J Yan, H Xu, H Zha, X Yang, H Liu, S Chu
Proceedings of the IEEE international conference on computer vision, 199-207, 2015
Nalozi: National Natural Science Foundation of China
GLOMA: Embedding global information in local matrix approximation models for collaborative filtering
C Chen, D Li, Q Lv, J Yan, L Shang, S Chu
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
Nalozi: US National Science Foundation, National Natural Science Foundation of China
A constrained clustering based approach for matching a collection of feature sets
J Yan, Z Ren, H Zha, S Chu
2016 23rd International Conference on Pattern Recognition (ICPR), 3832-3837, 2016
Nalozi: National Natural Science Foundation of China
Multi-view point registration via alternating optimization
J Yan, J Wang, H Zha, X Yang, S Chu
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
Nalozi: National Natural Science Foundation of China
ERMMA: Expected risk minimization for matrix approximation-based recommender systems
D Li, C Chen, Q Lv, L Shang, S Chu, H Zha
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
Nalozi: US National Science Foundation, National Natural Science Foundation of China
Collaborative filtering with noisy ratings
D Li, C Chen, Z Gong, T Lu, SM Chu, N Gu
Proceedings of the 2019 SIAM International Conference on Data Mining, 747-755, 2019
Nalozi: National Natural Science Foundation of China
Mixture matrix approximation for collaborative filtering
D Li, C Chen, T Lu, SM Chu, N Gu
IEEE Transactions on Knowledge and Data Engineering 33 (6), 2640-2653, 2019
Nalozi: National Natural Science Foundation of China
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