中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共13条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
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：162/5  |  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  
Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:  Jia, Gengyun;  Li, Peipei;  He, Ran
Adobe PDF(10845Kb)  |  收藏  |  浏览/下载：284/43  |  提交时间：2022/06/06
Aesthetic quality assessment (AQA)  full resolution  region of image (RoM) pooling  theme  
Structured Neural Decoding With Multitask Transfer Learning of Deep Neural Network Representations 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 600-614
作者:  Du, Changde;  Du, Changying;  Huang, Lijie;  Wang, Haibao;  He, Huiguang
Adobe PDF(8742Kb)  |  收藏  |  浏览/下载：446/167  |  提交时间：2022/03/17
Decoding  Image reconstruction  Functional magnetic resonance imaging  Visualization  Task analysis  Brain  Correlation  Deep neural network (DNN)  functional magnetic resonance imaging (fMRI)  image reconstruction  multioutput regression  neural decoding  
SRSC: Selective, Robust, and Supervised Constrained Feature Representation for Image Classification 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 10, 页码: 4290-4302
作者:  Xie, Guo-Sen;  Zhang, Zheng;  Liu, Li;  Zhu, Fan;  Zhang, Xu-Yao;  Shao, Ling;  Li, Xuelong
收藏  |  浏览/下载：249/0  |  提交时间：2021/01/07
Training  Task analysis  Learning systems  Computational modeling  Optimization  Support vector machines  Principal component analysis  Feature learning  feature selection  least squares  subspace learning  
Neural Encoding and Decoding With Distributed Sentence Representations 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 0, 期号: 0, 页码: 0
作者:  jingyuan sun;  shaonan wang;  jiajun zhang;  chengqing zong
浏览  |  Adobe PDF(2424Kb)  |  收藏  |  浏览/下载：229/75  |  提交时间：2020/10/13
brain-machine interface, distributed semantic representations, neural decoding, neural encoding  
Deep Reinforcement Learning-Based Automatic Exploration for Navigation in Unknown Environment 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 6, 页码: 2064-2076
作者:  Li, Haoran;  Zhang, Qichao;  Zhao, Dongbin
浏览  |  Adobe PDF(4274Kb)  |  收藏  |  浏览/下载：408/125  |  提交时间：2020/08/03
Robot sensing systems  Navigation  Entropy  Neural networks  Task analysis  Planning  Automatic exploration  deep reinforcement learning (DRL)  optimal decision  partial observation  
Learning With Coefficient-Based Regularized Regression on Markov Resampling 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 9, 页码: 4166-4176
作者:  Li, Luoqing;  Li, Weifu;  Zou, Bin;  Wang, Yulong;  Tang, Yuan Yan;  Han, Hua
收藏  |  浏览/下载：185/0  |  提交时间：2018/10/10
Coefficient-based Regularized Regression (Cbrr)  Learning Rate  Markov Resampling  Uniformly Ergodic Markov Chain (U.e.m.c.)  
Object Categorization Using Class-Specific Representations 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 9, 页码: 4528-4534
作者:  Zhang, Chunjie;  Cheng, Jian;  Li, Liang;  Li, Changsheng;  Tian, Qi
浏览  |  Adobe PDF(1061Kb)  |  收藏  |  浏览/下载：7271/381  |  提交时间：2017/09/24
Class-specific Representation  Image Classification  Object Categorization  Visual Representation  
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：406/119  |  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  
Improving visual saliency computing with emotion intensity 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2016, 期号: 27, 页码: 1201-1213
作者:  Huiying Liu;  Min Xu;  Jinqiao Wang;  Tianrong Rao;  Butnett Ian
浏览  |  Adobe PDF(2634Kb)  |  收藏  |  浏览/下载：365/141  |  提交时间：2016/10/20
Visual Saliency