Shared Parts Latent Topic Model for Image Classification

@inproceedings{Yang2011SharedPL,
  title={Shared Parts Latent Topic Model for Image Classification},
  author={Bin Yang},
  year={2011}
}
This paper addresses the problem of accurately classifying image categories without any human interaction. A shared parts latent topic model is presented to share mixture components between categories. Different categories share the similar parts which make the model more accurate. As the number of components is unknown and is to be inferred from the train set, the Dirichlet process is introduced into the model to provide a nonparametric prior for the number of mixture components within each… CONTINUE READING