Feature Space Transformation for Semi-Supervised Learning for Protein Subcellular Localization in Fluorescence Microscopy Images.
Yu-Shi LinYi-Hung HuangChung-Chih LinChun-Nan HsuPublished in: ISBI (2009)
Keyphrases
- semi supervised learning
- fluorescence microscopy images
- feature space
- semi supervised
- unlabeled data
- labeled data
- visual inspection
- unsupervised learning
- supervised learning
- semi supervised classification
- training data
- metric learning
- machine learning
- label propagation
- high dimensionality
- dimensionality reduction
- classification accuracy
- feature vectors
- high dimensional
- principal component analysis
- feature selection
- co training
- active learning
- training samples
- mean shift
- kernel function
- support vector machine
- multi view
- data points
- linear discriminant analysis
- data analysis
- dimension reduction
- support vector
- feature extraction
- image segmentation
- learning algorithm