 Fisher kernels exist for numerous models, notably tf–idf, Naive Bayes and probabilistic latent semantic analysis.The Fisher kernel can also be applied to image representation for classification or retrieval problems.Currently, the most popular bag-of-visual-words representation suffers from sparsity and high dimensionality.