中国科学院机构知识库网格系统: 检索

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	Visual concept conjunction learning with recurrent neural networks 期刊论文 OAI收割 NEUROCOMPUTING, 2020, 卷号: 395, 页码: 229-236 作者: Liang, Kongming; Chang, Hong; Shan, Shiguang; Chen, Xilin \| 收藏 \| 浏览/下载：23/0 \| 提交时间：2020/12/10 Attribute learning Concept conjunction Visual relationship detection Image retrieval
	Image sentiment prediction based on textual descriptions with adjective noun pairs 期刊论文 OAI收割 MULTIMEDIA TOOLS AND APPLICATIONS, 2018, 卷号: 77, 期号: 1, 页码: 1115-1132 作者: Li, Zuhe; Fan, Yangyu; Liu, Weihua; Wang, Fengqin \| 收藏 \| 浏览/下载：27/0 \| 提交时间：2018/12/11 Image Sentiment Textual Sentiment Concept Detection Late Fusion
	An Optimization Model for Clustering Categorical Data Streams with Drifting Concepts 期刊论文 OAI收割 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2016, 卷号: 28, 期号: 11, 页码: 2871-2883 作者: Bai, Liang; Cheng, Xueqi; Liang, Jiye; Shen, Huawei \| 收藏 \| 浏览/下载：26/0 \| 提交时间：2019/12/13 Cluster analysis optimization model iterative algorithm categorical data stream drifting-concept detection
	Enhancing Video Event Recognition Using Automatically Constructed Semantic-Visual Knowledge Base 期刊论文 OAI收割 IEEE TRANSACTIONS ON MULTIMEDIA, 2015, 卷号: 17, 期号: 9, 页码: 1562-1575 作者: Zhang, Xishan; Yang, Yang; Zhang, Yongdong; Luan, Huanbo; Li, Jintao \| 收藏 \| 浏览/下载：23/0 \| 提交时间：2019/12/13 Concept detection event recognition knowledge base
	在线聊天系统中的跨媒体语义关联学位论文 OAI收割工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2011 张歆明收藏 \| 浏览/下载：60/0 \| 提交时间：2015/09/02 多媒体多媒体聊天支持向量机语义概念检测跨媒体分析 Multimedia Multimedia Chatting SVM Semantic Concept Detection Cross Media Analysis
	海量视觉信息处理中特征选择与匹配关键技术研究学位论文 OAI收割工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2011 作者: 陈实收藏 \| 浏览/下载：83/0 \| 提交时间：2015/09/02 特征选择特征匹配物体检测视频概念检测视频拷贝检测 Feature Selection Feature Matching Object Detection Video Concept Detection Video Copy Detection
	Audio-visual large-scale video copy detection 期刊论文 OAI收割 INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS, 2011, 卷号: 88, 期号: 18, 页码: 3803-3816 作者: Liu, Yang; Xu, Changsheng; Lu, Hanqing 收藏 \| 浏览/下载：31/0 \| 提交时间：2015/08/12 information retrieval copy detection concept detection
	Intelligent MRTD testing for thermal imaging system using ANN (EI CONFERENCE) 会议论文 OAI收割 ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China Sun J.; Ma D. 收藏 \| 浏览/下载：25/0 \| 提交时间：2013/03/25 The Minimum Resolvable Temperature Difference (MRTD) is the most widely accepted figure for describing the performance of a thermal imaging system. Many models have been proposed to predict it. The MRTD testing is a psychophysical task for which biases are unavoidable. It requires laboratory conditions such as normal air condition and a constant temperature. It also needs expensive measuring equipments and takes a considerable period of time. Especially when measuring imagers of the same type the test is time consuming. So an automated and intelligent measurement method should be discussed. This paper adopts the concept of automated MRTD testing using boundary contour system and fuzzy ARTMAP but uses different methods. It describes an Automated MRTD Testing procedure basing on Back-Propagation Network. Firstly we use frame grabber to capture the 4-bar target image data. Then according to image gray scale we segment the image to get 4-bar place and extract feature vector representing the image characteristic and human detection ability. These feature sets along with known target visibility are used to train the ANN (Artificial Neural Networks). Actually it is a nonlinear classification (of input dimensions) of the image series using ANN. Our task is to justify if image is resolvable or uncertainty. Then the trained ANN will emulate observer performance in determining MRTD. This method can reduce the uncertainties between observers and long time dependent factors by standardization. This paper will introduce the feature extraction algorithm demonstrate the feasibility of the whole process and give the accuracy of MRTD measurement.
	Optical and electrochemical detection techniques for cell-based microfluidic systems 期刊论文 OAI收割 ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 2006, 卷号: 384, 期号: 6, 页码: 1259-1268 Yi, CQ; Zhang, Q; Li, CW; Yang, J; Zhao, JL; Yang, MS 收藏 \| 浏览/下载：24/0 \| 提交时间：2011/11/08 MICROCHIP CAPILLARY-ELECTROPHORESIS CONTACTLESS CONDUCTIVITY DETECTOR CHEMILUMINESCENT MU-BIOSENSORS THERMAL LENS MICROSCOPE FLOW-CONTROL CONCEPT ON-VALVE SYSTEM LIVE CELLS AMPEROMETRIC DETECTION FLUORESCENCE DETECTION ABSORBENCY DETECTION