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检索条件"机构=MIITKey Laboratory of Pattern Analysis and Machine Intelligence"
332 条 记 录,以下是111-120 订阅
排序:
E²GO: Free Your Hands for Smartphone Interaction
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International Journal of Human-Computer Interaction 2025年
作者: Yan, Shaoming Ju, Yuanliang Quan, Rong Tu, Huawei Liang, Dong MIIT Key Laboratory of Pattern Analysis and Machine Intelligence Collaborative Innovation Center of Novel Software Technology and Industrialization College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China Department of Computer Science and Information Technology La Trobe University Melbourne Australia
Current eye-gaze interaction technologies for smartphones are considered inflexible, inaccurate, and power-hungry. These methods typically rely on hand involvement and accomplish partial interactions. In this paper, w... 详细信息
来源: 评论
A Tailored Physics-informed Neural Network Method for Solving Singularly Perturbed Differential Equations  22
A Tailored Physics-informed Neural Network Method for Solvin...
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Proceedings of the 2022 5th International Conference on Algorithms, Computing and Artificial intelligence
作者: Yiwen Pang Ye Li Sheng-Jun Huang College of Computer Science and Technology/Artificial Intelligence Nanjing University of Aeronautics and Astronautics China College of Computer Science and Technology/Artificial Intelligence Nanjing University of Aeronautics and Astronautics China and MIIT Key Laboratory of Pattern Analysis and Machine Intelligence China
Physics-informed neural networks (PINNs) have recently been demonstrated to be effective for the numerical solution of differential equations, with the advantage of small real labelled data needed. However, the perfor... 详细信息
来源: 评论
Improving Generalization of Deep Neural Networks by Optimum Shifting
arXiv
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arXiv 2024年
作者: Zhou, Yuyan Li, Ye Feng, Lei Huang, Sheng-Jun MIIT Key Laboratory of Pattern Analysis and Machine Intelligence College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing211106 China Information Systems Technology and Design Pillar Singapore University of Technology and Design Singapore
Recent studies showed that the generalization of neural networks is correlated with the sharpness of the loss landscape, and flat minima suggests a better generalization ability than sharp minima. In this paper, we pr... 详细信息
来源: 评论
Robust Action Gap Increasing with Clipped Advantage Learning
arXiv
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arXiv 2022年
作者: Zhang, Zhe Gan, Yaozhong Tan, Xiaoyang College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics China Miit Key Laboratory of Pattern Analysis and Machine Intelligence
Advantage Learning (AL) seeks to increase the action gap between the optimal action and its competitors, so as to improve the robustness to estimation errors. However, the method becomes problematic when the optimal a... 详细信息
来源: 评论
Label-aware global consistency for multi-label learning with single positive labels  22
Label-aware global consistency for multi-label learning with...
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Proceedings of the 36th International Conference on Neural Information Processing Systems
作者: Ming-Kun Xie Jia-Hao Xiao Sheng-Jun Huang College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics MIIT Key Laboratory of Pattern Analysis and Machine Intelligence Nanjing
In single positive multi-label learning (SPML), only one of multiple positive labels is observed for each instance. The previous work trains the model by simply treating unobserved labels as negative ones, and designs...
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Synthesizing Aβ-PET based on multi-modal neuroimaging fusion for pathological diagnosis of Alzheimer’s disease
Synthesizing Aβ-PET based on multi-modal neuroimaging fusio...
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Cyber-Physical Social intelligence (ICCSI), International Conference on
作者: Yueteng Yang Bing Li Weikai Li Haifeng Chen Wenming Cao Department of Mathematics Chongqing Jiaotong University China MIIT Key Laboratory of Pattern Analysis and Machine Intelligence Nanjing China Department of Neurology Nanjing Drum Tower Hospital Affiliated Hospital of Medical School Nanjing University Nanjing China
Synthesizing Aβ-PET images from cross-modal neuroimaging for diagnosing Alzheimer’s disease through multi-modal medical image fusion is highly significant. However, there are relatively few studies in this area. We ... 详细信息
来源: 评论
Minimum Error Entropy High-Order Extended Kalman Filter
Minimum Error Entropy High-Order Extended Kalman Filter
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Cyber-Physical Social intelligence (ICCSI), International Conference on
作者: Zhi Cheng Xiaofeng Chen Hua Li Weikai Li Dongyuan Lin Department of Mathematics Chongqing Jiaotong University Chongqing China MIIT Key Laboratory of Pattern Analysis and Machine Intelligence Nanjing China College of Electronic and Information Engineering Southwest University Chongqing China
The conventional extended Kalman filter(EKF) is proposed under the criterion of minimum mean square error(MMSE) and omits high-order information. This leads to poor estimation of the EKF in non-Gaussian and strongly n...
来源: 评论
Smoothing Advantage Learning
arXiv
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arXiv 2022年
作者: Gan, Yaozhong Zhang, Zhe Tan, Xiaoyang College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics China MIIT Key Laboratory of Pattern Analysis and Machine Intelligence China
Advantage learning (AL) aims to improve the robustness of value-based reinforcement learning against estimation errors with action-gap-based regularization. Unfortunately, the method tends to be unstable in the case o... 详细信息
来源: 评论
View-labels Are Indispensable: A Multifacet Complementarity Study of Multi-view Clustering
arXiv
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arXiv 2022年
作者: Geng, Chuanxing Han, Aiyang Chen, Songcan The College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics MIIT Key Laboratory of Pattern Analysis and Machine Intelligence Nanjing China
Consistency and complementarity are two key ingredients for boosting multi-view clustering (MVC). Recently with the introduction of popular contrastive learning, the consistency learning of views has been further enha...
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InfoDiffusion: Information Entropy Aware Diffusion Process for Non-Autoregressive Text Generation
arXiv
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arXiv 2023年
作者: Wang, Renzhi Li, Jing Li, Piji College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics China MIIT Key Laboratory of Pattern Analysis and Machine Intelligence Nanjing China Department of Computing The Hong Kong Polytechnic University China
Diffusion models have garnered considerable interest in the field of text generation. Several studies have explored text diffusion models with different structures and applied them to various tasks, including named en... 详细信息
来源: 评论