Technical Program

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WA.P3: Linear and Non-linear Filtering II

Session Type: Poster
Time: Wednesday, October 10, 10:30 - 12:10
Location: Poster Area 3
Session Chair: Keigo Hirakawa, University of Dayton
 
 WA.P3.1: ON MINIMUM SPANNING TREE STREAMING FOR IMAGE ANALYSIS
         Leonardo Gigli; Mines ParisTech
         Santiago Velasco-Forero; Mines ParisTech
         Beatriz Marcotegui; Mines ParisTech
 
 WA.P3.2: LEARNING ILLUMINANT ESTIMATION FROM OBJECT RECOGNITION
         Marco Buzzelli; Università degli Studi di Milano-Bicocca
         Joost van de Weijer; Universitat Autònoma de Barcelona
         Raimondo Schettini; Università degli Studi di Milano-Bicocca
 
 WA.P3.3: LOCAL REPRESENTATION LEARNING WITH A CONVOLUTIONAL AUTOENCODER
         Michael Kenning; Swansea University
         Xianghua Xie; Swansea University
         Michael Edwards; Swansea University
         Jingjing Deng; Swansea University
 
 WA.P3.4: NEAR-CONSTANT TIME BILATERAL FILTER FOR HIGH DIMENSIONAL IMAGES
         Christina Karam; University of Dayton
         Kenjiro Sugimoto; Waseda University
         Keigo Hirakawa; University of Dayton
 
 WA.P3.5: SUPERPIXEL CONVOLUTION FOR SEGMENTATION
         Teppei Suzuki; Keio University
         Shuichi Akizuki; Keio University
         Naoki Kato; Keio University
         Yoshimitsu Aoki; Keio University
 
 WA.P3.6: A COMPLETE CANONICAL CORRELATION ANALYSIS FOR MULTIVIEW LEARNING
         Yan Liu; Yangzhou University
         Yun Li; Yangzhou University
         Yun-Hao Yuan; Yangzhou University
 
WA.P3.7: FAST 2D CONVOLUTIONS AND CROSS-CORRELATIONS USING SCALABLE ARCHITECTURES
         Cesar Carranza; Pontificia Universidad Católica del Perú
         Daniel Llamocca; Oakland University
         Marios Pattichis; The University of New Mexico