TUP.P17: Deep, Semi-supervised, and Ensemble Learning for Image Classification

Session Type: Poster
Time: Tuesday, July 12, 17:20 - 19:00
Location: Third Floor, South Hall, Poster Area
Session Chair: Lefei Zhang, Wuhan University
 
TUP.P17.88: USING CNN-BASED HIGH-LEVEL FEATURES FOR REMOTE SENSING SCENE CLASSIFICATION
         Zhengzheng Fang; Beijing University of Chemical Technology
         Wei Li; Beijing University of Chemical Technology
         Jinyi Zou; Beijing University of Chemical Technology
         Qian Du; Mississippi State University
 
TUP.P17.89: SEMI-SUPERVISED CONDITIONAL RANDOM FIELD FOR HYPERSPECTRAL REMOTE SENSING IMAGE CLASSIFICATION
         Junfeng Wu; Beihang University
         Zhiguo Jiang; Beihang University
         Haopeng Zhang; Beihang University
         Bowen Cai; Beihang University
         Quanmao Wei; Beihang University
 
TUP.P17.90: SEMI-SUPERVISED SPARSE RELEARNING REPRESENTATION CLASSIFICATION FOR HIGH-RESOLUTION REMOTE SENSING IMAGERY
         Jiayi Li; Wuhan University
         Xin Huang; Wuhan University
         Liangpei Zhang; Wuhan University
 
TUP.P17.91: A MODIFIED CLASS-SPECIFIC WEIGHTED SOFT VOTING FOR BAGGING ENSEMBLE
         Laxmi Eeti; Indian Institute of Technology, Bombay
         Krishna Mohan Buddhiraju; Indian Institute of Technology, Bombay
 
TUP.P17.92: DISTRIBUTED BOOSTING FOR CLOUD DETECTION
         Matthieu Le Goff; IRT / IRIT
         Jean-Yves Tourneret; IRIT / ENSEEIHT / TéSA
         Herwig Wendt; IRIT / ENSEEIHT / TéSA
         Mathias Ortner; IRT / Airbus Defence and Space
         Marc Spigai; IRT / Thales Alenia Space