Wavelet transform and SGLDM: a classification performance study using ML parameter estimation, minimum distance, and k-nearest-neighbor classifiers.
Reena SinghRamón E. VásquezRajeev SinghPublished in: Visual Information Processing (1997)
Keyphrases
- k nearest neighbor
- parameter estimation
- classification method
- knn
- classification algorithm
- maximum likelihood
- knn classifier
- k nearest neighbour
- nearest neighbor
- wavelet transform
- support vector machine svm
- minimum distance
- nearest neighbor algorithm
- nearest neighbour
- model selection
- em algorithm
- distance measurement
- majority voting
- support vector machine
- class probability estimation
- decision trees
- training set
- least squares
- markov random field
- multiresolution
- knn algorithm
- support vector
- minimum distance classifier
- feature selection
- expectation maximization
- text categorization
- feature set
- supervised learning
- text classification
- feature extraction
- binary classification tasks
- high dimensional data
- machine learning
- higher order
- pattern recognition
- training data
- parameter estimation algorithm
- face recognition