Wireless Capsule Endoscopy Video Segmentation Using an Unsupervised Learning Approach Based on Probabilistic Latent Semantic Analysis With Scale Invariant Features.
Yao ShenParthasarathy GuturuBill P. BucklesPublished in: IEEE Trans. Inf. Technol. Biomed. (2012)
Keyphrases
- video segmentation
- probabilistic latent semantic analysis
- capsule endoscopy
- unsupervised learning
- scale invariant features
- expectation maximization
- computer aided
- visual features
- scale invariant
- narrow band
- co occurrence
- probabilistic model
- em algorithm
- latent dirichlet allocation
- semi supervised
- video sequences
- latent semantic analysis
- keypoints
- video frames
- video analysis
- segmentation method
- latent variables
- object recognition
- topic models
- generative model
- topic modeling
- machine learning
- scene classification
- gaussian mixture model
- text classification
- image analysis
- negative matrix factorization
- pattern recognition
- training data
- video data
- active learning
- image segmentation
- computer vision