Deep multi-instance networks with sparse label assignment for whole mammogram classification W Zhu, Q Lou, YS Vang, X Xie Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017, 2017 | 334 | 2017 |
Instance annotation for multi-instance multi-label learning F Briggs, XZ Fern, R Raich, Q Lou ACM Transactions on Knowledge Discovery from Data (TKDD) 7 (3), 1-30, 2013 | 27 | 2013 |
Dynamic importance sampling for anytime bounds of the partition function Q Lou, R Dechter, A Ihler The Thirty-first Annual Conference on Neural Information Processing Systems …, 2017 | 20 | 2017 |
Anytime anyspace AND/OR search for bounding the partition function Q Lou, R Dechter, A Ihler The Thirty-first AAAI Conference on Artificial Intelligence (AAAI-17), 2017 | 14 | 2017 |
Curve intersection using hybrid clipping Q Lou, L Liu Computers & Graphics 36 (5), 309-320, 2012 | 14 | 2012 |
Content-based effectiveness prediction of video advertisements Q Lou, S Sarkhel, S Mitra, V Swaminathan The 20th IEEE International Symposium on Multimedia (ISM-18), 2018 | 8 | 2018 |
Sequential embedding induced text clustering, a non-parametric bayesian approach T Duan, Q Lou, SN Srihari, X Xie Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia …, 2019 | 7 | 2019 |
Anytime anyspace AND/OR best-first search for bounding marginal MAP Q Lou, R Dechter, A Ihler The Thirty-second AAAI Conference on Artificial Intelligence (AAAI-18), 2018 | 7 | 2018 |
Novelty detection under multi-label multi-instance framework Q Lou, R Raich, F Briggs, XZ Fern 2013 IEEE International Workshop on Machine Learning for Signal Processing …, 2013 | 7 | 2013 |
Interleave variational optimization with Monte Carlo sampling: A tale of two approximate inference paradigms Q Lou, R Dechter, A Ihler The Thirty-third AAAI Conference on Artificial Intelligence (AAAI-19), 2019 | 5 | 2019 |
Finite-sample bounds for marginal MAP Q Lou, R Dechter, A Ihler The Thirty-fourth Conference on Uncertainty in Artificial Intelligence (UAI-18), 2018 | 4 | 2018 |
Utilizing a trained multi-modal combination model for content and text-based evaluation and distribution of digital video content to client devices V Swaminathan, S Mitra, S Sarkhel, Q Lou US Patent 10,860,858, 2020 | | 2020 |
Anytime approximate inference in graphical models Q Lou University of California, Irvine, 2018 | | 2018 |
A framework for analyzing bioacoustics audio recordings as multiple instance multiple label data R Raich, F Briggs, Q Lou, X Fern, D Mellinger Proceedings of Meetings on Acoustics 19 (1), 2013 | | 2013 |