Comparing Pixel N-grams and Bag of Visual Word Features for the Classification of Diabetic Retinopathy.
Pradnya KulkarniAndrew StranieriHerbert F. JelinekPublished in: ACSW (2019)
Keyphrases
- bag of words
- n gram
- visual words
- text classification
- image classification
- classification accuracy
- bag of features
- feature space
- image features
- feature vectors
- scene classification
- feature extraction
- language model
- feature set
- bag of visual words
- image representation
- visual vocabulary
- soft assignment
- action recognition
- co occurrence
- support vector
- machine learning
- feature selection
- text mining
- variable length
- image descriptors
- decision trees
- diabetic retinopathy
- naive bayes
- object categories
- probabilistic model