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WPB.P7: Statistical Models and Learning III

Session Type: Poster

Time: Wednesday, September 28, 15:50 - 17:10

Location: Room 301 CD: Poster Area 7

Session Chair: Baoxin Li, Arizona State University

Presented 15:50 - 16:20

WPB.P7.1: LEARNING A LOW-RANK SHARED DICTIONARY FOR OBJECT CLASSIFICATION

Tiep Vu; The Pennsylvania State University

Vishal Monga; The Pennsylvania State University

WPB.P7.2: LEARNING A PERCEPTUAL MANIFOLD FOR IMAGE SET CLASSIFICATION

Sriram Kumar; Rochester Institute of Technology

Andreas Savakis; Rochester Institute of Technology

WPB.P7.3: WEIGHTED SVM WITH CLASSIFICATION UNCERTAINTY FOR SMALL TRAINING SAMPLES

Min-Kook Choi; Inha University

Hyun-Gyu Lee; Inha University

Sang-Chul Lee; Inha University

WPB.P7.4: DEEP NEURAL NETWORKS UNDER STRESS

Micael Carvalho; Université Pierre et Marie Curie

Matthieu Cord; Université Pierre et Marie Curie

Sandra Avila; Universidade Estadual de Campinas

Nicolas Thome; Université Pierre et Marie Curie

Eduardo Valle; Universidade Estadual de Campinas

WPB.P7.5: A PARALLEL-FUSION RNN-LSTM ARCHITECTURE FOR IMAGE CAPTION GENERATION

Minsi Wang; Shanghai Jiao Tong University

Li Song; Shanghai Jiao Tong University

Xiaokang Yang; Shanghai Jiao Tong University

Chuanfei Luo; Shanghai Research Institute of China Telecom

WPB.P7.6: UNSUPERVISED FEATURE LEARNING FOR ILLUMINATION ROBUSTNESS

Lloyd Windrim; University of Sydney

Arman Melkumyan; University of Sydney

Richard Murphy; University of Sydney

Anna Chlingaryan; University of Sydney

Juan Nieto; ETH-Zurich

WPB.P7.7: DOMAIN ADAPTATION BY ITERATIVE IMPROVEMENT OF SOFT-LABELING AND MAXIMIZATION OF NON-PARAMETRIC MUTUAL INFORMATION

Mohammad Nazmul Alam Khan; Oklahoma State University

Douglas Heisterkamp; Oklahoma State University

WPB.P7.8: KNOWING WHO TO LISTEN TO: PRIORITIZING EXPERTS FROM A DIVERSE ENSEMBLE FOR ATTRIBUTE PERSONALIZATION

Shrenik Lad; Virginia Tech

Bernardino Romera Parades; University of Oxford

Julien Valentin; University of Oxford

Philip Torr; University of Oxford

Devi Parikh; Virginia Tech

Presented 16:20 - 16:50

WPB.P7.9: BAYESIAN JOINT ESTIMATION OF THE MULTIFRACTALITY PARAMETER OF IMAGE PATCHES USING GAMMA MARKOV RANDOM FIELD PRIORS

Sébastien Combrexelle; University of Toulouse

Herwig Wendt; University of Toulouse

Yoann Altmann; Heriot-Watt University

Jean-Yves Tourneret; University of Toulouse

Stephen McLaughlin; Heriot-Watt University

Patrice Abry; Ecole Normale Supérieure de Lyon

WPB.P7.10: ANCHORED KERNEL METRIC LEARNING

Meng Wu; Northwestern Polytechnical University

Kai Luo; Northwestern Polytechnical University

Jianjun Dang; Northwestern Polytechnical University

Jun Zhou; Department of Electronic Engineering, Shanghai Jiao Tong University

End-of-Session Forum (all presenters available for discussion) 16:50 - 17:10