'Fisher vector' presentation slideshows

12 Discriminant Analysis

12 Discriminant Analysis. Discriminant Analysis. Introduction ? Two-group discriminant analysis Mahalanobis approach Linear discriminant analysis Discussions with LDA. Potential Applications. One of main methods for feature extraction in pattern recognition. Introduction.

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Mixtures of Gaussians and Advanced Feature Encoding

586 views • 42 slides

Mixtures of Gaussians and Advanced Feature Encoding

426 views • 42 slides

Leveraging Category-Level Labels For Instance-Level Image Retrieval

Leveraging Category-Level Labels For Instance-Level Image Retrieval. Outline. Introduction Learning techniques Experiment Conclusion. Outline. Introduction Learning techniques Experiment Conclusion. Introduction. The problem query-by-example instance level

361 views • 26 slides

CISC 841 Bioinformatics Combining HMMs with SVMs

CISC 841 Bioinformatics Combining HMMs with SVMs. HMM gradients. Fisher Score <X> = ? ? log P(X|H, ? ) The gradient of a sequence X with respect to a given model is computed using the forward-backward algorithm. Each dimension corresponds to one parameter of the model.

284 views • 20 slides