Relatively-paired space analysis: learning a latent common space from relatively-paired observations. Kuang, Z. & Wong, K. International Journal of Computer Vision, nov, 2014.
Relatively-paired space analysis: learning a latent common space from relatively-paired observations [link]Paper  doi  bibtex   
@Article{Kuang_2014_15980,
  author = {Kuang, Z. and Wong, K.K.},
 journal = {International Journal of Computer Vision},
 month = {nov},
 pages = {1-16},
 title = {Relatively-paired space analysis: learning a latent common space from relatively-paired observations},
 year = {2014},
 issn = {0920-5691},
 keywords = {absolutely-paired observations,cutting plane algorithm,multi-modality analysis,multi-view analysis,relatively-paired observa-,structural learning,tions},
 url = {http://link.springer.com/10.1007/s11263-014-0783-8},
 doi = {10.1007/s11263-014-0783-8},
 title_with_no_special_chars = {RelativelyPaired Space Analysis Learning a Latent Common Space From RelativelyPaired Observations}
}

Downloads: 0