Department of Computer and Information Science, The Ohio State University, Columbus, OH;Harvard University;York Univ. at North York, Ontario, Canada;University of Washington, Seattle;Univ. of Waterloo, Ontario, CANADA;Univ. of Rhode Island, Kingston;Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong;Department of Computer Science, Worcester Polytechnic Institute, Worcester, MA;Univ. of California, Santa Barbara, CA;Microsoft Research China, Beijing, China;Microsoft Research, Beijing, China;The University of Texas at Dallas, Richardson, Texas;Oakland University Rochester, MI;Department of Automation, University of Science and Technology of China, Hefei 230027, China. email:
unlabeled data;proposed method;data quality requirement;multimedia data;random data;sensor data;source data;experimental result;data analysis;data quality
Department of Computer Science and Automation, Beijing Institute of Machinery, P. O. Box 2865, Beijing, 100085, China;School of Automation, Beijing Information Science & technology University, Beijing, China 100192;School of Automation, University of Science and Technology Beijing, Beijing, China,School of Automation, Beijing Information Science and Technology University, China
Nonlinear ANC System;ANC system;FEBPNN algorithm;FX-BP algorithm;SPSA-based MFNN control algorithm;SPSA-based RFNN control algorithm;computer simulation;feedforward active noise control;proposed scheme;ANC algorithm
Department of Electronic Engineering, Tsinghua University, Beijing, China,Beijing Institute of Electronic Technology Application, Beijing, China
multimedia security;digital multimedia forensics;digital watermarking;improved algorithm;improved scale invariant feature;SIFT ring descriptorRecent study;blind copy-paste detection;copy-paste fake combination;feature vector;forensics technique
Microsoft Research China, Beijing, China;Microsoft Research, Beijing, China;Microsoft Research Asia, Beijing, P. R. China, Shanghai JiaoTong University, Shanghai, P. R. China;Microsoft Resarch Asia, Beijing, China;microsoft research asia, Beijing, China
Web page;experimental result;search engine;search result;multimedia data;clickthrough data;training data;commercial search engine;web search;proposed algorithm
Department of Computer Science, Stanford University;Department of Electrical & Computer Engineering, University of California, Santa Barbara;Morpho Software, Inc., 3944 State Street, Suite 340, Santa Barbara, CA;VIMA Technologies Inc., Santa Barbara, CA;IEEE;VIMA Technologies, Santa Barbara, California;Google, Inc., Mountain View, CA;Google Research, Beijing, China;VIMA Technologies, Santa Barbara, USA;Google Research, , USA/China;Google Beijing Research, Beijing, China 100084;Google Research;Google Research, Palo Alto;Google Research China;Google Research, Beijing, P.R. China;Google, Beijing, China;Director of Research, Google;Google China, Beijing, China
empirical study;data instance;multimedia data;data mining;data placement;data set;data stream;training data;high-dimensional data;sequence data
Key Laboratory of Computational Linguistics, Ministry of Education, China, Department of English, Peking University, Beijing, China
Chinese idiom knowledge base;Chinese language;Comprehensive Language Knowledge Base;computer-aided translation;foreign language;idiom knowledge base;linguistic research;machine translation;new development;new member
College of Chinese Language and Literature, Wuhan University, Wuhan, China, School of Foreign Languages, China University of Geosciences, Wuhan, China
Chinese empty-subject sentence;computer-based subject restoration;covert subject;empty subject;empty-subject sentence;empty-subject sentencesThe Chinese language;subject tagging;process ESS;Machine Translation;Natural Language Processing
School of Computer Science, National University of Defense Technology, Changsha, Hunan 410073, China, Changsha, China
peak performance;floating-point performance;high performance computing;optimization method;Linpack performance;better performance;features high performance;high performance;high performance computer system;high performance implementation
College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China,Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing, China
wireless multimedia;sensor network;multimedia sensor;image-oriented correlation coefficient;compression cost estimation;simulation result;energy consumption balance;energy consumption judgment strategy;energy efficient image transmission;network energy
College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China,Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing, China
image-oriented correlation coefficient;wireless multimedia;sensor network;clustering algorithm;clustering mechanism;correlation coefficient;correlation coefficient threshold;network energy;networksWireless multimedia;unattended multimedia node