Conditional Random Fields for Improving Deep Learning-Based Glacier Calving Front Delineations.
Nora GourmelonJulian KlinkThorsten SeehausMatthias H. BraunAndreas K. MaierVincent ChristleinPublished in: IGARSS (2023)
Keyphrases
- conditional random fields
- deep learning
- restricted boltzmann machine
- hidden markov models
- probabilistic model
- long range
- information extraction
- digital elevation models
- graphical models
- sequence labeling
- unsupervised learning
- higher order
- structured prediction
- maximum entropy
- crf model
- machine learning
- generative model
- pairwise
- markov random field
- mental models
- superpixels
- weakly supervised
- named entity recognition
- web page prediction
- approximate inference
- loopy belief propagation
- object recognition
- pattern recognition
- natural images
- text mining
- supervised learning
- image features
- knn
- multiscale
- bayesian networks