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：
Toward Robot Self-Consciousness (II): Brain-Inspired Robot Bodily Self Model for Self-Recognition 期刊论文
COGNITIVE COMPUTATION, 2018, 卷号: 10, 期号: 2, 页码: 307-320
作者:  Zeng, Yi;  Zhao, Yuxuan;  Bai, Jun;  Xu, Bo
浏览  |  Adobe PDF(2959Kb)  |  收藏  |  浏览/下载：395/96  |  提交时间：2017/09/18
Robot Self-consciousness  Robot Bodily Self Model  Stdp Learning  Self-recognition  
Deep Reinforcement Learning With Visual Attention for Vehicle Classification 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2017, 卷号: 9, 期号: 4, 页码: 356-367
作者:  Zhao, Dongbin;  Chen, Yaran;  Lv, Le
浏览  |  Adobe PDF(3192Kb)  |  收藏  |  浏览/下载：1014/534  |  提交时间：2017/05/08
Convolutional Neural Network (Cnn)  Reinforcement Learning  Vehicle Classification  Visual Attention  
Exploring the optimal granularity for market segmentation in RTB advertising via computational experiment approach 期刊论文
ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS, 2017, 卷号: 24, 期号: NA, 页码: 68-83
作者:  Qin, Rui;  Yuan, Yong;  Wang, Fei-Yue;  Yuan Yong
浏览  |  Adobe PDF(6997Kb)  |  收藏  |  浏览/下载：542/214  |  提交时间：2017/09/21
Real Time Bidding  Demand Side Platforms  Market Segmentation  Computational Experiment  
A multi-level text representation model within background knowledge based on human cognitive process for big data analysis 期刊论文
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2016, 卷号: 19, 期号: 3, 页码: 1475-1487
作者:  Wei, Xiao;  Zhang, Jun;  Zeng, Daniel Dajun;  Li, Qing
浏览  |  Adobe PDF(4930Kb)  |  收藏  |  浏览/下载：379/150  |  提交时间：2016/12/26
Text Comprehension  Background Knowledge  Text Representation  Human Cognitive Process  Surface Code  Text Base  Situational Model  Semantics  
Enhanced HMAX model with feedforward feature learning for multiclass categorization 期刊论文
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2015, 卷号: 9, 页码: 1-14
作者:  Li, Yinlin;  Wu, Wei;  Zhang, Bo;  Li, Fengfu
浏览  |  Adobe PDF(3664Kb)  |  收藏  |  浏览/下载：346/77  |  提交时间：2016/03/30
Hmax  Biologically Inspired  Feedforward  Saliency Map  Middle Level Patch Learning  Feature Encoding  Multiclass Categorization