Combining Generative Models and Fisher Kernels for Object Recognition.
Alex HolubMax WellingPietro PeronaPublished in: ICCV (2005)
Keyphrases
- generative model
- fisher kernel
- object recognition
- generative and discriminative models
- object categories
- probabilistic model
- discriminative methods
- mixture model
- em algorithm
- bag of words
- discriminative learning
- computer vision
- d objects
- prior knowledge
- conditional random fields
- maximum entropy principle
- tf idf
- expectation maximization
- discriminative models
- representational power
- object class
- feature vectors
- hierarchical hidden markov models
- visual words
- dimensionality reduction
- object detection
- hidden markov models
- active learning
- bayesian networks