Historical Document Image Segmentation with LDA-Initialized Deep Neural Networks.
Michele AlbertiMathias SeuretVinaychandran PondenkandathRolf IngoldMarcus LiwickiPublished in: CoRR (2017)
Keyphrases
- neural network
- image segmentation
- topic discovery
- latent topics
- latent dirichlet allocation
- latent dirichlet
- topic models
- document images
- linear discriminant analysis
- face recognition
- latent semantic analysis
- pattern recognition
- artificial neural networks
- lda model
- generative model
- dimensionality reduction
- text documents
- discriminant analysis
- multiscale
- feature extraction
- historical documents
- document collections
- back propagation
- document clustering
- web documents
- document classification
- topic modeling
- graph cuts
- markov random field
- computer vision
- subspace methods
- linear discriminate analysis
- segmentation algorithm
- information retrieval systems
- information retrieval
- dimension reduction
- relevant documents
- historical data
- em algorithm
- discriminating power
- fuzzy logic
- keywords
- image processing
- region growing
- active contours
- principal component analysis
- genetic algorithm