Technical Program

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MP.P7: Statistical Models and Learning I

Session Type: Poster
Time: Monday, October 8, 14:10 - 15:50
Location: Poster Area 7
Session Chair: Adrian Barbu, Florida State University
 
 MP.P7.1: LEARNING MULTI-GRAPH REGULARIZATION FOR SVM CLASSIFICATION
         Vasileios Mygdalis; Aristotle University of Thessaloniki
         Anastasios Tefas; Aristotle University of Thessaloniki
         Ioannis Pitas; Aristotle University of Thessaloniki
 
 MP.P7.2: GENERATING MANIFOLD-ALIGNED SEMANTIC FEATURE FOR ZERO-SHOT LEARNING
         Jidong Wang; Zhejiang University
         Yanan Li; Zhejiang University
         Zhangyang Pang; Zhejiang University
         Donghui Wang; Zhejiang University
 
 MP.P7.3: ROBUST ADAPTIVE SPARSE LEARNING METHOD FOR GRAPH CLUSTERING
         Mulin Chen; Northwestern Polytechnical University
         Qi Wang; Northwestern Polytechnical University
         Xuelong Li; Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences and University of Chinese Academy of Sciences
 
 MP.P7.4: SUBSPACE SEGMENTATION BASED METRIC LEARNING
         Ujjal Kr Dutta; Indian Institute of Technology Madras
         Chandra Sekhar C; Indian Institute of Technology Madras
 
 MP.P7.5: PROFILE HIDDEN MARKOV MODELS FOR FOREGROUND OBJECT MODELLING
         Ioannis Kazantzidis; Kingston University
         Francisco Florez-Revuelta; University of Alicante
         Jean-Christophe Nebel; Kingston University
 
 MP.P7.6: SIMULTANEOUS LEARNING OF AFFINITY MATRIX AND LAPLACIAN REGULARIZED LEAST SQUARES FOR SEMI-SUPERVISED CLASSIFICATION
         Lei Zhang; Wenzhou University
         Di Wang; Wenzhou University
         Xiaoqin Zhang; Wenzhou University
         Nannan Gu; Capital University of Economics and Business
         Mingyu Fan; Wenzhou University