Multi-task Learning for Macromolecule Classification, Segmentation and Coarse Structural Recovery in Cryo-Tomography.
Chang LiuXiangrui ZengKaiwen WangQiang GuoMin XuPublished in: CoRR (2018)
Keyphrases
- multi task learning
- multi task
- multiple tasks
- learning tasks
- classification accuracy
- image segmentation
- feature space
- feature extraction
- training set
- binary classification tasks
- support vector
- machine learning algorithms
- classification models
- decision trees
- machine learning
- multi label image annotation
- gaussian processes
- class labels
- text categorization
- image classification
- support vector machine
- learning problems
- bayesian framework
- inductive learning
- theoretical analysis
- markov random field
- prior knowledge