Technical Program
IVMSP-L9: Image Classification |
Session Type: Lecture |
Time: Friday, March 25, 13:30 - 15:30 |
Location: Yellow River Hall (3F) |
Session Chair: Kunio Kashino , NTT Corporation, Communication Science Laboratories |
IVMSP-L9.1: THE MULTIPLE-POINT VARIOGRAM OF IMAGES FOR ROBUST TEXTURE CLASSIFICATION |
Tuan Pham; Linköping University |
IVMSP-L9.2: AN IMPROVED LOCAL BINARY PATTERN OPERATOR FOR TEXTURE CLASSIFICATION |
Fuxiang Lu; Lanzhou University |
Jun Huang; Shanghai Advanced Research Institute |
IVMSP-L9.3: A NOVEL IMAGE CLASSIFIER BASED ON GAUSSIAN MIXTURE LANGUAGE MODEL |
Wei Wu; Inner Mongolia University |
Guanglai Gao; Inner Mongolia University |
IVMSP-L9.4: LEARNING DISCRIMINATIVE AND SHAREABLE PATCHES FOR SCENE CLASSIFICATION |
Shoucheng Ni; Shanghai Jiao Tong University |
Qieshi Zhang; Waseda University |
Sei-ichiro Kamata; Waseda University |
Chongyang Zhang; Shanghai Jiao Tong University |
IVMSP-L9.5: SCENE TEXT RECOGNITION WITH HIGH PERFORMANCE CNN CLASSIFIER AND EFFICIENT WORD INFERENCE |
Xinhao Liu; NTT Corporation |
Takahito Kawanishi; NTT Corporation |
Xiaomeng Wu; NTT Corporation |
Kunio Kashino; NTT Corporation |
IVMSP-L9.6: MODELING DEEP BIDIRECTIONAL RELATIONSHIPS FOR IMAGE CLASSIFICATION AND GENERATION |
Toru Nakashika; The University of Electro-Communications |
Tetsuya Takiguchi; Kobe University |
Yasuo Ariki; Kobe University |