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MP.L9: Classification II

Session Type: Lecture

Time: Monday, September 26, 14:00 - 16:00

Location: Room 102 B

Session Chair: Ghassan AlRegib, Georgia Institute of Technology

Presented 14:00 - 14:20

MP.L9.1: EFFICIENT SELECTION OF INFORMATIVE AND DIVERSE TRAINING SAMPLES WITH APPLICATIONS IN SCENE CLASSIFICATION

Sujoy Paul; University of California, Riverside

Jawadul H. Bappy; University of California, Riverside

Amit K. Roy-Chowdhury; University of California, Riverside

Presented 14:20 - 14:40

MP.L9.2: RGB-D SCENE CLASSIFICATION VIA HETEROGENEOUS MODEL FUSION

Xinda Liu; Ningxia University

Xueming Wang; Ningxia University

Shuqiang Jiang; Chinese Academy of Sciences

Presented 14:40 - 15:00

MP.L9.3: A SHAPE FEATURE BASED BOVW METHOD FOR IMAGE CLASSIFICATION USING N-GRAM AND SPATIAL PYRAMID CODING SCHEME

Elham Etemad; Dalhousie University

Gang Hu; State University of New York at Fredonia

Qigang Gao; Dalhousie University

Presented 15:00 - 15:20

MP.L9.4: DIMENSIONALITY REDUCTION FOR IMAGE CLASSIFICATION VIA MUTUAL INFORMATION MAXIMIZATION

Shuai Huang; Johns Hopkins University

Trac D. Tran; Johns Hopkins University

Presented 15:20 - 15:40

MP.L9.5: USING NODE RELATIONSHIPS FOR HIERARCHICAL CLASSIFICATION

Tien-Dung Mai; University of Information Technology

Thanh Duc Ngo; University of Information Technology

Duy-Dinh Le; University of Information Technology

Duc Anh Duong; University of Information Technology

Kiem Hoang; University of Information Technology

Shin'ichi Satoh; National Institute of Informatics

Presented 15:40 - 16:00

MP.L9.6: CORAL CLASSIFICATION WITH HYBRID FEATURE REPRESENTATIONS

Ammar Mahmood; The University of Western Australia

Mohammed Bennamoun; The University of Western Australia

Senjian An; The University of Western Australia

Ferdous Sohel; Murdoch University

Farid Boussaid; The University of Western Australia

Renae Hovey; The University of Western Australia

Gary Kendrick; The University of Western Australia

Robert Fisher; University of Edinburgh