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MP.L9: Classification II

Session Type: Lecture

Time: Monday, September 27, 14:45 - 17:55

Location: S427

Session Chairs: Josiane Zerubia, INRIA and Jie Yang, Shanghai Jiaotong University

MP.L9.1: GEOMETRICAL FEATURES FOR THE CLASSIFICATION OF VERY HIGH RESOLUTION MULTISPECTRAL REMOTE-SENSING IMAGES

Bin Luo; GIPSA-Lab, Grenoble Institute of Technology

Jocelyn Chanussot; GIPSA-Lab, Grenoble Institute of Technology

MP.L9.2: IMAGE RECOGNITION BY LEARNED LINEAR SUBSPACE OF COMBINED BAG-OF-FEATURES AND LOW-LEVEL FEATURES

Xian-Hua Han; Ritsumei University

Yen-Wei Chen; Ritsumei University

Xiang Ruan; Omron Corporation

MP.L9.3: IMPROVING OBJECT COLOR CATEGORIZATION WITH SHAPES

Yimeng Zhang; Cornell University

Shiaw-Shian Yu; Industrial Technology Research Institute

Tsuhan Chen; Cornell University

MP.L9.4: AUTOMATIC DETECTION OF MALIGNANT PROSTATIC GLAND UNITS IN CROSS-SECTIONAL MICROSCOPIC IMAGES

Tian Xia; University of Illinois at Urbana-Champaign

Yizhou Yu; University of Illinois at Urbana-Champaign

Jing Hua; Wayne State University

Break (30 minutes)

MP.L9.5: COMBINING SUPPORT VECTOR MACHINES AND INFORMATION GAIN RANKING FOR CLASSIFICATION OF MARS MCMURDO PANORAMA IMAGES

Changjing Shang; Aberystwyth University

Dave Barnes; Aberystwyth University

MP.L9.6: DISCOVERING LATENT SEMANTIC FACTORS FOR EMOTIONAL PICTURE CATEGORIZATION

Shuo Li; Tsinghua University

Yu-Jin Zhang; Tsinghua University

Hua-Chun Tan; Beijing Institute of Technology

MP.L9.7: ONLINE ADABOOST ECOC FOR IMAGE CLASSIFICATION

Hongwen Huo; Peking University

Jufu Feng; Peking University

MP.L9.8: AN EFFICIENT COLOR IMAGE CLASSIFICATION METHOD USING GRADIENT MAGNITUDE BASED ANGLE COOCCURRENCE MATRIX

Rui Zhang; Beihang University

Baolin Yin; Beihang University

Qiyang Zhao; Beihang University

Bin Yang; Beihang University