Intelligent Computing Lab, Institute of Intelligent Machines, Chinese Academy of Sciences PO Box 1130, Hefei, Anhui 230031, China;Department of Automation, University of Science and Technology of China, Hefei, Anhui 230026, China and Institute of Intelligent Machines, Chinese Academy of Sciences, P.O. Box 1130, Hefei, Anhui ...;Intelligent Computing Lab, Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui, 230031, China, and School of Information and Technology, Qufu Normal University, Rizhao, Sh ...;Intelligent Computing Lab, Hefei Institute of Intelligent Machines, Chinese Academy of Sciences, Anhui, China and Biometrics Research Center, Dept. of Computing, The Hong Kong Polytechnic Universi ...;College of Electrical Engineering and Automation, Anhui University, Hefei, Anhui, China
gene expression data;proposed method;new method;experimental result;tumor classification;microarray data;powerful method;gene selection;conventional method;efficient feature extraction method
Dept. of Comput. Sci. & Eng., Zhejiang Univ., China;ICTISVISION FRJDL, Institute of Computing Technology, CAS, Beijing, China;Key Lab of Intelligent Information Processing, Chinese Academy of Sciences, Beijing, China and Digital Media Research Center, Institute of Computing Technology, CAS, Beijing, China and Graduate Sc ...;ICTISVISION Joint R&D Lab for Face Recognition, Institute of Computing Technology, Chinese of Academy of Sciences, Beijing, China
AdaBoost-based face detector;CMU frontal face test;enormous face database;face detection;face detector;frontal face detector;proposed method;Harr-based AdaBoost face detector;Rotated face detection;coarse-to-fine hierarchical face detector
Beijing University of Posts and Telecommunications, Beijing, China, 100876, beijing, China
video game;predator game genre;Game Opponent;basic principle;game AI development;training data;opponent AI;strategy pattern;on-line game;opponent game AI
Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China and Graduate University of Chinese Academy of Sciences, Beijing, China;Research Center for Cloud Computing, North China University of Technology, Beijing, China and Graduate University of Chinese Academy of Sciences, Beijing, China
data transfer strategy;situational data integration;data service;data service mashup;mashups performance;SOAP data transfer;data flow chart;data maintenance cost;data maintenance problem;data service mashups
Beijing University of Posts and Telecommunications, Beijing, China, 100876, beijing, China
video game;predator game genre;Game Opponent;game AI development;training data;opponent AI;basic principle;non-player character;on-line game;opponent game AI
Beijing University of Posts and Telecommunications, Beijing, China, 100876, beijing, China
video game;predator game genre;Game Opponent;game AI development;training data;opponent AI;basic principle;non-player character;on-line game;opponent game AI
Beijing University of Posts and Telecommunications, Beijing, China, 100876, beijing, China
video game;Game Opponent;training data;game AI development;predator game genre;non-player character;opponent AI;on-line game;basic principle;game play
Beijing University of Posts and Telecommunications, Beijing, China, 100876, beijing, China
video game;Game Opponent;training data;game AI development;predator game genre;non-player character;opponent AI;on-line game;basic principle;game play
Institute of Finance and Banking, Chinese Academy of Social Sciences, Beijing, China,Department of Financial Markets, Longjiang Bank, Harbin, Heilongjiang, China
customer attrition;prediction mechanism;customer attrition risk prediction;high-valued customer;binary classification task;effective classifier;retail banking;retail bankingNowadays;commercial bank;data mining
Key Laboratory of Data Engineering and Knowledge Engineering, MOE, China,School of Information, Renmin University of China, Beijing, China,Hunan University of Science and Technology, Xiangtan, Chi ...
sensor network;data transmission;synthetic data;Fuzzy Method;detection algorithm;crisp raw sensory data;practical data;transmission data;uncertain data;efficient event