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Jul 5, 2024 · Most of the current recognition research is based on single source facial data, which generally has the disadvantages of low accuracy and low robustness. In this paper, a neural network algorithm of facial expression recognition based on multimodal data fusion is proposed.
In addition to weekly lessons in Belgium, Shen Zhengyu also teaches TaiJi, Meditation, Qi-Daoyin, WuXi QiGong and Shen BUQI ® courses in Belgium, France, Italy, the Netherlands and Norway. TaiJi includes NanPai TaiJiQuan, NanPai TaiJi Stick, TaiJi ChangQuan, TaiJi Sword, TaiJi Fan, TuiShou and SanShou.
Jun 25, 2024 · Yifan Chen, Daniel Zhengyu Huang, Jiaoyang Huang, Sebastian Reich, Andrew M. Stuart. In this paper, we study efficient approximate sampling for probability distributions known up to normalization constants.
Jun 27, 2024 · Lijie Hu, Tianhao Huang, Huanyi Xie, Chenyang Ren, Zhengyu Hu, Lu Yu, Di Wang. Concept Bottleneck Models (CBMs) have garnered increasing attention due to their ability to provide concept-based explanations for black-box deep learning models while achieving high final prediction accuracy using human-like concepts.
Jul 6, 2024 · Author: Lu Zhengyu / Taiwan. Aquarium Size/W120 x D60 x H50 (cm) Comments from Nishimura Noboru. A wonderful layout that reminds us of the ancient forest. The arrangement of layout materials and carefully cared plants create this work with very relaxing feeling.
Jul 2, 2024 · A noise-resistant graph neural network by semi-supervised contrastive learning. Abstract. Graph neural networks (GNNs) have been widely applied for representation learning on the graph data in real applications, but few of them are designed to conduct representation learning on the graph data with noisy labels.
Jun 27, 2024 · In our research, we have developed a novel mechanism that allows for a significant reduction in the smallest sampling unit of digital image sensors (DIS) to as small as 1/16th of a pixel, through measuring the intra-pixel quantum efficiency for the first time and recomputing the image.
