..............page:225-229
..............page:236-240
AN INCOMPLETE DATA ANALYSIS APPROACH BASED ON ROUGH SET THEORY
zhang wei(department of computer; chongqing university; chongqig 400044) (department of computer & modern education technology; chongqing education college; chongqing 400067)liao xiaofeng; wu zhongfu(department of computer; chongqing university; chongqing 400044)
..............page:158-163
..............page:169-173
..............page:185-191
CONSTRAINED MESH SIMPLIFICATION
ye jianhui; li dehua ( open lab of education ministry of image processing and intelligence control; institute of pattern recognition and artificial intelligence; huazhong university of science and technology; wuhan 430074)
..............page:136-139
..............page:252-256
..............page:230-235
..............page:241-246
..............page:145-151
..............page:204-207
REVIEW OF SUPPORT VECTOR MACHINES REGRESSION THEORY AND CONTROL
wang dingcheng(department of automation ; university of science & technology of china ; hefei 230026) (institute ofintelligent machines ; chinese academy of sciences; hefei 230031)fang tingjiang (institute of intelligent machines ; chinese academy of sciences ; hefei 230031)tang yi; ma yongjun (department of automation ; university of science & technology of china ; hefei 230026)
..............page:192-197
..............page:247-251
..............page:140-144
..............page:152-157
..............page:164-168
..............page:219-224
AN EFFICIENT SAR AUTOMATIC TARGET RECOGNITION APPROACH
han ping(institute of electronic information engineering; tianjin university; tianjin 300174) (institute of communications and information processing; civil aviation university of china ; tianjin 300300) wang yunhong(national lab for pattern recognition ; institute of automation ; chinese academy of sciences ; beijing 100080)wu renbiao(institute of communications and information processing; civil aviation university of china ; tianjin 300300)wang zhaohua( institute of electronic information engineering ; tianjin university; tianjin 300174)
..............page:208-212
..............page:129-135
..............page:178-184
..............page:174-177
..............page:198-203
MULTIPLE SOURCES DATA FUSION USING FUZZY DEMPSTER-SHAFER EVIDENTIAL REASONING APPROACH TO CLASSIFICATION
liu chunping(computer vision lab; dep of computer; nanjing university of science & technology; nanjing 210094) (institute of computer science and technology; suzhou university; suzhou 215006)dai jinfang (nanjin institute of geography & limnology; chinese academy of sciences ; nanjin 210008)zhong wen; wang yuanquan; xia deshen (computer vision lab; dep of computer; nanjing university of science & technology; nanjing 210094)
..............page:213-218