Comparing Local Feature Descriptors in pLSA-Based Image Models

@inproceedings{Hrster2008ComparingLF,
  title={Comparing Local Feature Descriptors in pLSA-Based Image Models},
  author={Eva H{\"o}rster and Thomas Greif and Rainer Lienhart and Malcolm Slaney},
  booktitle={DAGM-Symposium},
  year={2008}
}
Probabilistic models with hidden variables such as probabilistic Latent Semantic Analysis (pLSA) and Latent Dirichlet Allocation (LDA) have recently become popular for solving several image content analysis tasks. In this work we will use a pLSA model to represent images for performing scene classification. We evaluate the influence of the type of local… CONTINUE READING