Summary of The Ensemble Epanechnikov Mixture Filter, by Andrey A. Popov et al.
The Ensemble Epanechnikov Mixture Filterby Andrey A. Popov, Renato ZanettiFirst submitted to arxiv on: 20…
Summary of 3d-aware Instance Segmentation and Tracking in Egocentric Videos, by Yash Bhalgat et al.
3D-Aware Instance Segmentation and Tracking in Egocentric Videosby Yash Bhalgat, Vadim Tschernezki, Iro Laina, João…
Summary of Ai and Machine Learning Driven Indoor Localization and Navigation with Mobile Embedded Systems, by Sudeep Pasricha
AI and Machine Learning Driven Indoor Localization and Navigation with Mobile Embedded Systemsby Sudeep PasrichaFirst…
Summary of Evaluating Modern Approaches in 3d Scene Reconstruction: Nerf Vs Gaussian-based Methods, by Yiming Zhou and Zixuan Zeng and Andi Chen and Xiaofan Zhou and Haowei Ni and Shiyao Zhang and Panfeng Li and Liangxi Liu and Mengyao Zheng and Xupeng Chen
Evaluating Modern Approaches in 3D Scene Reconstruction: NeRF vs Gaussian-Based Methodsby Yiming Zhou, Zixuan Zeng,…
Summary of Effect Of Kernel Size on Cnn-vision-transformer-based Gaze Prediction Using Electroencephalography Data, by Chuhui Qiu et al.
Effect of Kernel Size on CNN-Vision-Transformer-Based Gaze Prediction Using Electroencephalography Databy Chuhui Qiu, Bugao Liang,…
Summary of Active Learning For Wban-based Health Monitoring, by Cho-chun Chiu et al.
Active Learning for WBAN-based Health Monitoringby Cho-Chun Chiu, Tuan Nguyen, Ting He, Shiqiang Wang, Beom-Su…
Summary of Coarse Correspondences Boost Spatial-temporal Reasoning in Multimodal Language Model, by Benlin Liu et al.
Coarse Correspondences Boost Spatial-Temporal Reasoning in Multimodal Language Modelby Benlin Liu, Yuhao Dong, Yiqin Wang,…
Summary of Design and Optimization Of Big Data and Machine Learning-based Risk Monitoring System in Financial Markets, by Liyang Wang et al.
Design and Optimization of Big Data and Machine Learning-Based Risk Monitoring System in Financial Marketsby…
Summary of Generative Adversarial Networks For Imputing Sparse Learning Performance, by Liang Zhang et al.
Generative Adversarial Networks for Imputing Sparse Learning Performanceby Liang Zhang, Mohammed Yeasin, Jionghao Lin, Felix…
Summary of Weights Shuffling For Improving Dpsgd in Transformer-based Models, by Jungang Yang and Zhe Ji and Liyao Xiang
Weights Shuffling for Improving DPSGD in Transformer-based Modelsby Jungang Yang, Zhe Ji, Liyao XiangFirst submitted…