中文版 | English

在结果中检索

OPT OpenIR
（本次检索基于用户作品认领结果）

浏览/检索结果: 共6条，第1-6条 帮助

限定条件                                        
已选(0)清除 条数/页：   排序方式：
From Deterministic to Generative: Multimodal Stochastic RNNs for Video Captioning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 10, 页码: 3047-3058
作者:  Song, Jingkuan;  Guo, Yuyu;  Gao, Lianli;  Li, Xuelong;  Hanjalic, Alan;  Shen, Heng Tao
Adobe PDF(3046Kb)  |  收藏  |  浏览/下载：219/0  |  提交时间：2019/10/11
Recurrent neural network (RNN)  uncertainty  video captioning  
Learning to Predict Eye Fixations via Multiresolution Convolutional Neural Networks 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 2, 页码: 392-404
作者:  Liu, Nian;  Han, Junwei;  Liu, Tianming;  Li, Xuelong
Adobe PDF(2296Kb)  |  收藏  |  浏览/下载：210/1  |  提交时间：2018/12/11
Contrast  Convolutional Neural Network (Cnn)  Eye Fixation Prediction  Rgb-d  Saliency Detection  
Learning a Probabilistic Topology Discovering Model for Scene Categorization 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 8, 页码: 1622-1634
作者:  Zhang, Luming;  Ji, Rongrong;  Xia, Yingjie;  Zhang, Ying;  Li, Xuelong
Adobe PDF(4096Kb)  |  收藏  |  浏览/下载：226/1  |  提交时间：2015/09/09
Boosting  Discrimination  Learning  Probabilistic Model  Redundancy  Topology  
Transfer Learning for Visual Categorization: A Survey 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 5, 页码: 1019-1034
作者:  Shao, Ling;  Zhu, Fan;  Li, Xuelong
Adobe PDF(3181Kb)  |  收藏  |  浏览/下载：843/0  |  提交时间：2015/07/20
Action Recognition  Image Classification  Machine Learning  Object Recognition  Survey  Transfer Learning  Visual Categorization  
Local Coordinate Concept Factorization for Image Representation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 卷号: 25, 期号: 6, 页码: 1071-1082
作者:  Liu, Haifeng;  Yang, Zheng;  Yang, Ji;  Wu, Zhaohui;  Li, Xuelong
Adobe PDF(2849Kb)  |  收藏  |  浏览/下载：176/2  |  提交时间：2015/03/18
Data Representation  Dimensionality Reduction  Image Clustering  Matrix Factorization  
A Unified Learning Framework for Single Image Super-Resolution 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 卷号: 25, 期号: 4, 页码: 780-792
作者:  Yu, Jifei;  Gao, Xinbo;  Tao, Dacheng;  Li, Xuelong;  Zhang, Kaibing
Adobe PDF(3831Kb)  |  收藏  |  浏览/下载：296/1  |  提交时间：2015/03/18
Example Learning-based  Image Super-resolution (Sr)  Reconstruction-based  Self-similarity