Semi-supervised Macromolecule Structural Classification in Cellular Electron Cryo-Tomograms using 3D Autoencoding Classifier.
Siyuan LiuXuefeng DuRong XiFuya XuXiangrui ZengBo ZhouMin XuPublished in: BMVC (2019)
Keyphrases
- semi supervised
- classification scheme
- classification method
- classification process
- svm classifier
- co training
- support vector machine
- labeled and unlabeled data
- classification algorithm
- classification rate
- support vector
- unlabeled samples
- class labels
- supervised learning
- training samples
- training set
- decision trees
- learning vector quantization
- probabilistic classifiers
- unlabeled data
- feature selection
- support vector machine svm
- decision boundary
- final classification
- electron microscopy
- higher classification accuracy
- feature space
- classification accuracy
- semi supervised learning
- nearest neighbor classifier
- image classification
- classification models
- k nearest neighbour
- feature set
- supervised classification
- labeled data
- high classification accuracy
- semi supervised classification
- machine learning
- feature extraction
- classifier combination
- fully supervised
- multi label classification
- binary classifiers
- training data
- text classification
- feature vectors
- pairwise constraints
- individual classifiers
- text categorization
- feature extraction and classification
- ensemble classifier
- naive bayes classifier
- multi category
- extracted features
- labeled instances
- unsupervised clustering
- label information
- classifier ensemble
- pattern classification
- knn
- pairwise
- learning algorithm