Non Negative Collective Hybrid Factorization Method for Text –To-Image Transfer learning

@inproceedings{2016NonNC,
  title={Non Negative Collective Hybrid Factorization Method for Text –To-Image Transfer learning},
  author={},
  year={2016}
}
  • Published 2016
To target domains in different feature spaces, heterogeneous transfer learning has recently gained much attention as a new machine learning paradigm in which the knowledge can be transferred from source domains. Domains can provide accurate and useful Knowledge to be transferred; existing works usually assume that source. To handle noise in text-to-image… CONTINUE READING