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05/03/2023
Cross-Stream Contrastive Learning for Self-Supervised Skeleton-Based Action Recognition
Self-supervised skeleton-based action recognition enjoys a rapid growth ...
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02/17/2023
Cross-Domain Label Propagation for Domain Adaptation with Discriminative Graph Self-Learning
Domain adaptation manages to transfer the knowledge of well-labeled sour...
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10/09/2022
Constrained Maximum Cross-Domain Likelihood for Domain Generalization
As a recent noticeable topic, domain generalization aims to learn a gene...
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09/17/2022
Mitigating Both Covariate and Conditional Shift for Domain Generalization
Domain generalization (DG) aims to learn a model on several source domai...
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08/31/2022
Active Learning with Effective Scoring Functions for Semi-Supervised Temporal Action Localization
Temporal Action Localization (TAL) aims to predict both action category ...
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08/31/2022
Attentive pooling for Group Activity Recognition
In group activity recognition, hierarchical framework is widely adopted ...
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06/10/2022
Deep Multi-view Semi-supervised Clustering with Sample Pairwise Constraints
Multi-view clustering has attracted much attention thanks to the capacit...
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11/04/2021
Multi-scale 2D Representation Learning for weakly-supervised moment retrieval
Video moment retrieval aims to search the moment most relevant to a give...
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10/25/2021
MOVER confidence intervals for a difference or ratio effect parameter under stratified sampling
Stratification is commonly employed in clinical trials to reduce the cha...
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11/22/2020
Sample size calculation for the Andersen-Gill model comparing rates of recurrent events
Recurrent events arise frequently in biomedical research, where the subj...
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06/23/2020
An improved sample size calculation method for score tests in generalized linear models
Self and Mauritsen (1988) developed a sample size determination procedur...
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03/20/2020
Domain Adaptation by Class Centroid Matching and Local Manifold Self-Learning
Domain adaptation has been a fundamental technology for transferring kno...
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01/12/2020
Notes on Exact Power Calculations for t Tests and Analysis of Covariance
Tang derived the exact power formulae for t tests and analysis of covari...
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06/11/2019
A mnotone data augmentation algorithm for longitudinal data analysis via multivariate skew-t, skew-normal or t distributions
The mixed effects model for repeated measures (MMRM) has been widely use...
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11/20/2018
A monotone data augmentation algorithm for multivariate nonnormal data: with applications to controlled imputations for longitudinal trials
An efficient monotone data augmentation (MDA) algorithm is proposed for ...
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04/12/2018