中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共5条，第1-5条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
Taxi Demand Prediction Using Parallel Multi-Task Learning Model 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2020, 卷号: 99, 期号: 1, 页码: 1-10
作者:  Chizhan Zhang;  Fenghua Zhu;  Xiao Wang;  Leilei Sun;  Haina Tang;  Yisheng Lv
浏览  |  Adobe PDF(3947Kb)  |  收藏  |  浏览/下载：248/96  |  提交时间：2020/10/15
Taxi demand prediction, pick-up/drop-off demand, multi-task learning, LSTM, deep learning  
Graph-based neural networks for explainable image privacy inference 期刊论文
PATTERN RECOGNITION, 2020, 卷号: 105, 期号: 0, 页码: 12
作者:  Yang, Guang;  Cao, Juan;  Chen, Zhineng;  Guo, Junbo;  Li, Jintao
Adobe PDF(2906Kb)  |  收藏  |  浏览/下载：316/20  |  提交时间：2020/08/03
Image privacy protection  Graph neural networks  Image classification  
Online semi-supervised learning with learning vector quantization 期刊论文
NEUROCOMPUTING, 2020, 卷号: 399, 页码: 467-478
作者:  Shen, Yuan-Yuan;  Zhang, Yan-Ming;  Zhang, Xu-Yao;  Liu, Cheng-Lin
Adobe PDF(1155Kb)  |  收藏  |  浏览/下载：257/7  |  提交时间：2020/06/22
Online learning  Semi-supervised classification  Learning vector quantization  Gaussian mixture distribution  Neural gas  
Species Classification for Neuroscience Literature Based on Span of Interest Using Sequence-to-Sequence Learning Model 期刊论文
https://www.frontiersin.org/articles/10.3389/fnhum.2020.00128/full, 2020, 卷号: 14, 期号: 1, 页码: 128
作者:  Zhu, Hongyin;  Zeng, Yi;  Wang, Dongsheng;  Huangfu, Cunqing
浏览  |  Adobe PDF(2089Kb)  |  收藏  |  浏览/下载：313/81  |  提交时间：2020/06/16
brain science  neuroscience  PubMed  
Temporal-Spatial Mapping for Action Recognition 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2020, 卷号: 30, 期号: 3, 页码: 748-759
作者:  Song, Xiaolin;  Lan, Cuiling;  Zeng, Wenjun;  Xing, Junliang;  Sun, Xiaoyan;  Yang, Jingyu
收藏  |  浏览/下载：262/0  |  提交时间：2020/06/02
Two dimensional displays  Three-dimensional displays  Feature extraction  Optical imaging  Computational modeling  Streaming media  Kernel  Temporal-spatial mapping (TSM)  action recognition  deep learning