Learning From Weakly Supervised Data by The Expectation Loss SVM (e-SVM) algorithm

Jun Zhu, Junhua Mao, Alan L. Yuille. Learning From Weakly Supervised Data by The Expectation Loss SVM (e-SVM) algorithm. In Zoubin Ghahramani, Max Welling, Corinna Cortes, Neil D. Lawrence, Kilian Q. Weinberger, editors, Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, December 8-13 2014, Montreal, Quebec, Canada. pages 1125-1133, 2014. [doi]

@inproceedings{ZhuMY14,
  title = {Learning From Weakly Supervised Data by The Expectation Loss SVM (e-SVM) algorithm},
  author = {Jun Zhu and Junhua Mao and Alan L. Yuille},
  year = {2014},
  url = {http://papers.nips.cc/paper/5287-learning-from-weakly-supervised-data-by-the-expectation-loss-svm-e-svm-algorithm},
  researchr = {https://researchr.org/publication/ZhuMY14},
  cites = {0},
  citedby = {0},
  pages = {1125-1133},
  booktitle = {Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, December 8-13 2014, Montreal, Quebec, Canada},
  editor = {Zoubin Ghahramani and Max Welling and Corinna Cortes and Neil D. Lawrence and Kilian Q. Weinberger},
}