deep learningObjective. Sleep spindles have been implicated in memory consolidation and synaptic plasticity during NREM sleep. Detection accuracy and latency in automatic spindle detection are critical for real-time applications. Approach. Here we propose a novel deep learning strategy (SpindleNet) to ...
In vivo two-photon calcium imaging is a powerful approach in neuroscience. However, processing two-photon calcium imaging data is computationally intensive and time-consuming, making online frame-by-frame analysis challenging. This is especially true for large field-of-view (FOV) imaging. Here, we...
A duality based approach for realtime TV-L1 optical flow Hamprecht F.A., Schnörr C., Jähne B. (Eds.), Pattern Recognition (2007), pp. 214-223 Google Scholar Zhang, Zheng, Poon, Shen, Lau, 2018 R. Zhang, Y. Zheng, C.C. Poon, D. Shen, J.Y. Lau Polyp detection during ...
Real-time Driving Context Understanding using Deep Grid Net: A\nGranular Approach In this paper, we extend Deep Grid Net (DGN) [1], a deep learning(DL) system designed for understanding the context in which an autonomous car is driving. We consider this paper a granular approach to DGN me...
Deep learning models are capable of modeling the highly non-linear function and have the generalization ability in unseen cases. In this work, we leveraged this property and first attempted to apply GANs with CNN structure to predict the flow field for supercritical airfoils. The numerical simulatio...
recognition in mobile communication network based on deep learning,” in Signal and Information Processing, Networking and Computers, vol. 494 of Lecture Notes in Electrical Engineering, pp. 296–306, Springer, Singapore, 2019. [12] J. Schmidhuber, “Deep learning in neural networks: an ...
Deep compartment models: A deep learning approach for the reliable prediction of time-series data in pharmacokinetic modeling 来自 掌桥科研 喜欢 0 阅读量: 14 作者: A Janssen,FWG Leebeek,Cnossen, Marjon H.Mathot, Ron A. A. 摘要: Nonlinear mixed effect (NLME) models are the gold standard ...
Overview 算法的基本流程为:步骤一:采用音视频数据库训练模型。其中音频已经标注了对应的音位信息,使用Active Appearance Model (AMM)从视频中...
《A Discriminative Feature Learning Approach for Deep Face Recognition》 一种用于深度人脸识别的判别性特征学习方法 作者 Yandong Wen、Kaipeng Zhang、Zhifeng Li 和 Yu Qiao 来自深圳市计算机视觉与专利重点实验室、中国科学院深圳先进技术研究院和香港中文大学 ...
A deep-learning-based self-calibration time-reversal fingerprinting localization approach on Wi-Fi platform IEEE Internet of Things Journal, 7 (8) (2020), pp. 7072-7083 Google Scholar Zheng et al., 2017 Zheng K., Wang H., Li H., Xiang W., Lei L., Qiao J., et al. Energy-efficient...