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Found 11 papers, 1 papers with code
Tracking Players in a Badminton Court by Two Cameras
We leverage two off-the-shelf cameras, one on the top of the court and the other on the side of the court.
Lightweight Image Inpainting by Stripe Window Transformer with Joint Attention to CNN
Image inpainting is an important task in computer vision.
Multi-Task Variational Information Bottleneck
Multi-task learning (MTL) is an important subject in machine learning and artificial intelligence.
A hybrid model for predicting human physical activity status from lifelogging data
We validate the model with the real data collected from a group of participants in the UK, and compare it with other popular two-stage hybrid models.
Incorporating prior financial domain knowledge into neural networks for implied volatility surface prediction
This is one of the very first studies which discuss a methodological framework that incorporates prior financial domain knowledge into neural network architecture design and model training.
Recursion-Free Online Multiple Incremental/Decremental Analysis Based on Ridge Support Vector Learning
This study presents a rapid multiple incremental and decremental mechanism based on Weight-Error Curves (WECs) for support-vector analysis.
Efficient Multiple Incremental Computation for Kernel Ridge Regression with Bayesian Uncertainty Modeling
This study presents an efficient incremental/decremental approach for big streams based on Kernel Ridge Regression (KRR), a frequently used data analysis in cloud centers.
Privacy-Preserved Big Data Analysis Based on Asymmetric Imputation Kernels and Multiside Similarities
To deal with these incomplete data, a new kernel function with asymmetric intrinsic mappings is proposed in this study.
Efficient Divide-And-Conquer Classification Based on Feature-Space Decomposition
Firstly, we divide the feature space into several subspaces using the decomposition method proposed in this paper.
A dynamic pricing model for unifying programmatic guarantee and real-time bidding in display advertising
From the experiments we find that, in a less competitive market, lower prices of the guaranteed contracts will encourage the purchase in advance and the revenue gain is mainly contributed by the increased competition in future RTB.
Computer Science and Game Theory
