ConvLSTM-CRF: Sea Ice Concentration Prediction with ConvLSTM and Conditional Random Fields.
Hui ZhangXiaoyong LiKaijun RenXiaoli RenLi PenglunLibo WangPublished in: SMC (2022)
Keyphrases
- conditional random fields
- sea ice
- graphical models
- probabilistic model
- crf model
- pairwise
- sequence labeling
- information extraction
- prediction accuracy
- generative model
- random fields
- higher order
- maximum entropy
- hidden markov models
- named entity recognition
- parameter learning
- sar imagery
- markov random field
- fully connected
- semi markov
- semantic segmentation
- segmentation method
- protein fold recognition
- contextual features
- structured prediction
- satellite imagery
- regression trees
- co occurrence
- natural images
- approximate inference
- prefetching
- machine learning
- feature selection