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| Title | Author(s) | Issue Date | Views | |
|---|---|---|---|---|
Large sample covariance matrices and their application to high-dimensional statistics Proceeding/Conference:Random Matrices and Their Applications Workshop, Kyoto University, May 2018 | 2018 | 44 | ||
Latent variable modeling with random features Proceeding/Conference:Proceedings of Machine Learning Research (PMLR) | 2021 | |||
Learned probabilistic image motion models for event detection in videos Proceeding/Conference:Proceedings - International Conference on Pattern Recognition | 2004 | 121 | ||
Learning Attention as Disentangler for Compositional Zero-shot Learning Proceeding/Conference:IEEE/CVF Conference on Computer Vision and Pattern Recognition (18/06/2023-22/06/2023, Vancouver) | 18-Jun-2023 | |||
Learning distributed sentence vectors with bi-directional 3D convolutions Proceeding/Conference:The 28th International Conference on Computational Linguistics (COLING 2020) | 2020 | 30 | ||
Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization Proceeding/Conference:Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part IX | 2020 | 14 | ||
Learning knowledge management concepts via the use of a scenario building tool on an e-learning platform Proceeding/Conference:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2009 | |||
“Learning Knowledge Management concepts via the use of a Scenario Building Tool on an E-Learning platform”, International Conference on Hybrid Learning, 25-27th August, 2009, Macau, to appear in Lecture Notes in Computer Science, Springer-Verlag.
Proceeding/Conference:International Conference on Hybrid Learning (25/08/2009-27/08/2009, Macau) | 25-Aug-2009 | |||
Learning mixed-state Markov models for statistical motion texture tracking Proceeding/Conference:2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009 | 2009 | 117 | ||
Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery Proceeding/Conference:2023 International Conference on Computer Vision (ICCV) (02/10/2023-06/10/2023, , , Paris) | 2-Oct-2023 | |||
Learning to discover novel visual categories via deep transfer clustering Proceeding/Conference:Proceedings of the IEEE International Conference on Computer Vision | 2019 | 5 | ||
Likelihood ratio test for the spacing between two adjacent location parameters Proceeding/Conference:The Joint Statistical Meetings | 1995 | 148 | ||
Local and global structure-aware entropy regularized mean teacher model for 3d left atrium segmentation Proceeding/Conference:Medical Image Computing and Computer Assisted Intervention – MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part I | 2020 | 63 | ||
Local influence for restricted likelihood: Application to factor analysis Proceeding/Conference:International Symposium on Contemporary Multivariate Analysis and Its Applications | 1997 | 93 | ||
Long term survival analysis of high dose versus low dose cis-platinum combined with cyclophosphamide in advanced ovarian cancer Proceeding/Conference:Biennial Meeting of the International Gynecologic Cancer Society | 1999 | 111 | ||
LSD-C: Linearly Separable Deep Clusters Proceeding/Conference:Proceedings of the IEEE International Conference on Computer Vision | 2021 | 5 | ||
m out of n bootstrap for non-standard M-estimation Proceeding/Conference:Annual Meeting of the Institute of Mathematical Statistics | 2002 | 135 | ||
M-estimation in Low-Rank Matrix Factorization: A General Framework Proceeding/Conference:IEEE International Conference on Data Mining Proceedings | 2019 | 32 | ||
MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery Proceeding/Conference:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (17/06/2023-24/06/2023, Vancouver, BC, Canada) | 22-Aug-2023 | |||
Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis Proceeding/Conference:MICCAI 2023 (08/10/2023-12/10/2023, Vancouver) | 10-Jan-2023 |