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Constrained Maximum Cross-Domain Likelihood for Domain Generalization 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:  Lin, Jianxin;  Tang, Yongqiang;  Wang, Junping;  Zhang, Wensheng
Adobe PDF(2518Kb)  |  收藏  |  浏览/下载：134/1  |  提交时间：2023/11/17
Optimization  Feature extraction  Metalearning  Entropy  Training  Hospitals  Task analysis  Distribution shift  domain adaptation  domain generalization  domain-invariant representation  joint distribution alignment  
Boost 3-D Object Detection via Point Clouds Segmentation and Fused 3-D GIoU-L-1 Loss 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 762-773
作者:  Chen, Yaran;  Li, Haoran;  Gao, Ruiyuan;  Zhao, Dongbin
Adobe PDF(2082Kb)  |  收藏  |  浏览/下载：276/63  |  提交时间：2022/03/17
3-D object detection  generalized Intersection of Union (GIoU) loss  segmentation  
Meta-Prototypical Learning for Domain-Agnostic Few-Shot Recognition 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 1-7
作者:  Wang RQ(王瑞琪);  Zhang XY(张煦尧);  Liu CL(刘成林)
Adobe PDF(1403Kb)  |  收藏  |  浏览/下载：260/51  |  提交时间：2022/01/27
domain-agnostic few-shot recognition  image classification  meta-learning  prototypical learning  
Weakly Aligned Feature Fusion for Multimodal Object Detection 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:  Zhang, Lu;  Liu, Zhiyong;  Zhu, Xiangyu;  Song, Zhan;  Yang, Xu;  Lei, Zhen;  Qiao, Hong
Adobe PDF(19222Kb)  |  收藏  |  浏览/下载：229/3  |  提交时间：2022/01/27
Object detection  Feature extraction  Detectors  Robustness  Cameras  Automation  Training  Deep learning  feature fusion  multimodal object detection  pedestrian detection  
BNAS: Efficient Neural Architecture Search Using Broad Scalable Architecture 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 期号: 0, 页码: 0
作者:  Ding ZX(丁子祥);  Yaran, Chen;  Nannan, Li;  Dingbin, Zhao;  Zhiquan, Sun;  C. L. Philip Chen
Adobe PDF(2713Kb)  |  收藏  |  浏览/下载：191/44  |  提交时间：2022/01/06
Broad convolutional neural network (BCNN), image classification, neural architecture search (NAS), reinforcement learning (RL)  
EDP: An Efficient Decomposition and Pruning Scheme for Convolutional Neural Network Compression 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 10, 页码: 4499-4513
作者:  Ruan, Xiaofeng;  Liu, Yufan;  Yuan, Chunfeng;  Li, Bing;  Hu, Weiming;  Li, Yangxi;  Maybank, Stephen
Adobe PDF(3625Kb)  |  收藏  |  浏览/下载：335/45  |  提交时间：2021/06/17
Data-driven  low-rank decomposition  model compression and acceleration  structured pruning  
A pdf-Free Change Detection Test Based on Density Difference Estimation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 2, 页码: 324-334
作者:  Bu, Li;  Alippi, Cesare;  Zhao, Dongbin
浏览  |  Adobe PDF(2468Kb)  |  收藏  |  浏览/下载：395/114  |  提交时间：2017/05/04
Concept Drift  Least Squares Density-difference (Lsdd)-based Method  Probability Density Function (Pdf)-free  Three-level Threshold Mechanism  
In Defense of Locality-Sensitive Hashing 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 1, 页码: 87-103
作者:  Ding, Kun;  Huo, Chunlei;  Fan, Bin;  Xiang, Shiming;  Pan, Chunhong;  Fan B(樊斌)
浏览  |  Adobe PDF(2975Kb)  |  收藏  |  浏览/下载：545/191  |  提交时间：2016/10/24
Locality-sensitive Hashing (Lsh)  Semantic Similarity Search  Two-step Hashing  
What Are the Differences Between Bayesian Classifiers and Mutual-Information Classifiers? 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 卷号: 25, 期号: 2, 页码: 249-264
作者:  Hu, Bao-Gang
Adobe PDF(1314Kb)  |  收藏  |  浏览/下载：220/27  |  提交时间：2015/08/12
Abstaining Classifier  Bayes  Cost-sensitive Learning  Entropy  Error Types  Mutual Information  Reject Types