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Presenter : Wei- Hao Huang Author : Bo Xie , Yang Mu, Dacheng Tao , Kaiqi Huang TSMCA , 2011 PowerPoint Presentation
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m-SNE: Multiview Stochastic Neighbor Embedding. Presenter : Wei- Hao Huang Author : Bo Xie , Yang Mu, Dacheng Tao , Kaiqi Huang TSMCA , 2011. Outlines. Motivation Objectives Methodology Experiments Conclusions Comments. Motivation.

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Presentation Transcript
outlines
Outlines
  • Motivation
  • Objectives
  • Methodology
  • Experiments
  • Conclusions
  • Comments
motivation
Motivation
  • To duly utilize different features or multiview data is a challenge

Different statistical properties are not considered

Different features are not well explored

Conventional strategies

Corrupting by noise

objectives
Objectives
  • To propose a multiview stochastic neighbor embedding to unify different features under a probabilistic framework.

m-SNE

methodology accelerated first order method for combination coefficient
Methodology – Accelerated First-Order Method for Combination Coefficient
  • Lipschitz continuous
  • First order function
  • Second order function
conclusions
Conclusions
  • m-SNE is able to meaningfully integrates different views.
  • The combination coefficient can
    • exploit complementary information in different view
    • suppress noise
comments
Comments
  • Advantages
    • m-SNE can integrate different views
  • Applications
    • Dimension reduction, image retrieval and multiview learning