Material Detail

Relatively-Paired Space Analysis

Relatively-Paired Space Analysis

This video was recorded at British Machine Vision Conference (BMVC), Bristol 2013. Discovering a latent common space between different modalities plays an important role in cross-modality pattern recognition. Existing techniques often require absolutelypaired observations as training data, and are incapable of capturing more general semantic relationships between cross-modality observations. This greatly limits their applications. In this paper, we propose a general framework for learning a latent common space from relatively-paired observations (i.e., two observations from different modalities are more-likely-paired than another two). Relative-pairing information is encoded using relative proximities of observations in the latent common space. By building a discriminative model and... Show More


  • User Rating
  • Comments
  • Learning Exercises
  • Bookmark Collections
  • Course ePortfolios
  • Accessibility Info

More about this material


Log in to participate in the discussions or sign up if you are not already a MERLOT member.