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MA.L3: Statistical-model Based Methods I

Session Type: Lecture

Time: Monday, September 27, 10:15 - 13:25

Location: S226

Session Chairs: Mario Figueiredo, Instituto Superior Técnico and S. C. Chan, University of Hong Kong

MA.L3.1: BAYESIAN REGULARIZATION OF DIFFUSION TENSOR IMAGES USING HIERARCHICAL MCMC AND LOOPY BELIEF PROPAGATION

Siming Wei; Zhejiang University

Jing Hua; Wayne State University

Jiajun Bu; Zhejiang University

Chun Chen; Zhejiang University

Yizhou Yu; University of Illinois at Urbana-Champaign

MA.L3.2: CONTRAST IN SPECKLED IMAGERY WITH STOCHASTIC DISTANCES

Alejandro Frery; Universidade Federal de Alagoas

Abraão Nascimento; Universidade Federal de Pernambuco

Renato Cintra; Universidade Federal de Pernambuco

MA.L3.3: EXEMPLAR-BASED EM-LIKE IMAGE DENOISING VIA MANIFOLD RECONSTRUCTION

Xin Li; West Virginia University

MA.L3.4: TOTAL SUBSET VARIATION PRIOR

Sanjeev Kumar; University of California, San Diego

Truong Q. Nguyen; University of California, San Diego

Break (30 minutes)

MA.L3.5: TRACKING IN STREAMED VIDEO BY UPDATING GLOBALLY OPTIMAL MATCHINGS

João F. Henriques; University of Coimbra

Rui Caseiro; University of Coimbra

Jorge Batista; University of Coimbra

MA.L3.6: LEARNING OF STRUCTURING ELEMENTS FOR MORPHOLOGICAL IMAGE MODEL WITH A SPARSITY PRIOR

Makoto Nakashizuka; Osaka University

Shinji Takenaka; Osaka University

Youji Iiguni; Osaka University

MA.L3.7: COMPRESSIVE BLIND SOURCE SEPARATION

Yiyue Wu; Princeton University

Yuejie Chi; Princeton University

Robert Calderbank; Princeton University

MA.L3.8: INTER-FRAME CONTEXTUAL MODELLING FOR VISUAL SPEECH RECOGNITION

Adrian Pass; Queens University Belfast

Ji Ming; Queens University Belfast

Philip Hanna; Queens University Belfast

Jianguo Zhang; Queens University Belfast

Darryl Stewart; Queens University Belfast