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On the Equivalence of Linear Discriminant Analysis and Least Squares Regression 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 卷号: 35, 期号: 4, 页码: 5710-5720
作者:  Nie, Feiping;  Chen, Hong;  Xiang, Shiming;  Zhang, Changshui;  Yan, Shuicheng;  Li, Xuelong
收藏  |  浏览/下载：2/0  |  提交时间：2024/07/04
Eigenvalues and eigenfunctions  Principal component analysis  Null space  Training data  Symmetric matrices  Sun  Optimization  Least squares regression (LSR)  linear discriminant analysis (LDA)  linear regression  minimum distance classifier (MDC)  null space LDA  
Port-Hamiltonian modeling and jumping trajectory tracking control for a bio-inspired quadruped robot 期刊论文
NONLINEAR ANALYSIS-HYBRID SYSTEMS, 2024, 卷号: 53, 页码: 18
作者:  Zhang, Chi;  Zou, Wei;  Ma, Liping;  Cheng, Ningbo
收藏  |  浏览/下载：3/0  |  提交时间：2024/07/04
Port-Hamiltonian with dissipation(pHd)  Bio-inspired jumping robot  Dynamic modeling  Interconnection and damping assignment  passivity-based control(IDA-PBC)  
Image captioning: Semantic selection unit with stacked residual attention 期刊论文
IMAGE AND VISION COMPUTING, 2024, 卷号: 144, 页码: 12
作者:  Song, Lifei;  Li, Fei;  Wang, Ying;  Liu, Yu;  Wang, Yuanhua;  Xiang, Shiming
收藏  |  浏览/下载：1/0  |  提交时间：2024/07/03
Image captioning  Semantic attributes  Semantic selection unit  Transformer  Stacked residual attention  
Two-particle Debris Flow Simulation Based on SPH 期刊论文
Computer Animation and Virtual Worlds, 2024, 卷号: 35, 期号: 3, 页码: 1-17
作者:  Zhang JX(张佳岫);  Yang M(杨猛);  Xiaomin Li;  Qunou Jiang;  Heng Zhang;  Meng WL(孟维亮)
Adobe PDF(4962Kb)  |  收藏  |  浏览/下载：26/11  |  提交时间：2024/06/04
debris flow  GPU acceleration  natural disaster simulation  SPH  
IterDepth: Iterative Residual Refinement for Outdoor Self-Supervised Multi-Frame Monocular Depth Estimation 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 卷号: 34, 期号: 1, 页码: 329-341
作者:  Feng, Cheng;  Chen, Zhen;  Zhang, Congxuan;  Hu, Weiming;  Li, Bing;  Lu, Feng
收藏  |  浏览/下载：57/0  |  提交时间：2024/03/26
Estimation  Iterative methods  Cameras  Task analysis  Feature extraction  Decoding  Training  Monocular depth estimation  iterative refinement  self-supervised learning  deep learning  
Novel methods for locating and matching IC cells based on standard cell libraries 期刊论文
MICROELECTRONIC ENGINEERING, 2024, 卷号: 283, 页码: 12
作者:  Liu, Can;  Wang, Kaige;  Li, Qing;  Zhao, Fazhan;  Zhao, Kun;  Ma, Hongtu
收藏  |  浏览/下载：83/0  |  提交时间：2024/02/22
Reverse engineering  Integrated circuits  Scanning electron microscopy  Image processing  Hardware security  
Identifying Critical Test Scenarios for Lane Keeping Assistance System Using Analytic Hierarchy Process and Hierarchical Clustering 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 10, 页码: 4370-4380
作者:  Song, Rui;  Li, Xuan;  Zhao, Xiangmo;  Liu, Mingyang;  Zhou, Jianhua;  Wang, Fei-Yue
收藏  |  浏览/下载：48/0  |  提交时间：2024/02/22
Analytic hierarchy process  Accidents  autonomous vehicles  critical test scenarios  hierarchical clustering  lane keeping asistance system  scenarios engineering  
Powerful-IoU: More straightforward and faster bounding box regression loss with a nonmonotonic focusing mechanism 期刊论文
NEURAL NETWORKS, 2024, 卷号: 170, 页码: 276-284
作者:  Liu, Can;  Wang, Kaige;  Li, Qing;  Zhao, Fazhan;  Zhao, Kun;  Ma, Hongtu
收藏  |  浏览/下载：88/0  |  提交时间：2024/02/22
Object detection  Bounding box regression  Loss function design  Focusing mechanism  
Enhancing Short Track Speed Skating Performance through Improved DDQN Tactical Decision Model 期刊论文
SENSORS, 2023, 卷号: 23, 期号: 24, 页码: 12
作者:  Yang, Yuanbo;  Li, Feimo;  Chang, Hongxing
收藏  |  浏览/下载：41/0  |  提交时间：2024/02/22
short track speed skating  deep reinforcement learning  decision-making method  deep Q-network  competition performance improvement  
Few-shot video object segmentation with prototype evolution 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2024, 页码: 16
作者:  Mao, Binjie;  Liu, Xiyan;  Shi, Linsu;  Yu, Jiazhong;  Li, Fei;  Xiang, Shiming
收藏  |  浏览/下载：56/0  |  提交时间：2024/02/21
Few-shot video segmentation  Few-shot segmentation  Video object segmentation