Adaptive Variance Thresholding: A Novel Approach to Improve Existing Deep Transfer Vision Models and Advance Automatic Knee-Joint Osteoarthritis Classification.
Fabi PrezjaLeevi AnnalaSampsa KiiskinenSuvi LahtinenTimo OjalaPublished in: CoRR (2023)
Keyphrases
- classification models
- machine learning
- model selection
- statistical classification
- computer vision
- image processing
- pattern recognition
- classification accuracy
- pattern classification
- machine learning algorithms
- support vector
- feature space
- machine learning methods
- unsupervised learning
- classification algorithm
- training samples
- denoising
- supervised learning
- decision trees
- data sets
- support vector machine svm
- gray level
- text classification
- decision rules
- semi automatic
- vision system
- classification scheme
- machine learning approaches
- learning algorithm
- belief nets