A subspace regression and two phase label optimization for High Dimensional Image classification.
Vishal SrivastavaBhaskar BiswasPublished in: Multim. Tools Appl. (2020)
Keyphrases
- high dimensional
- image classification
- low dimensional
- multi label
- feature space
- sparse coding
- high dimensional data
- regression model
- dimensionality reduction
- feature extraction
- lower dimensional
- optimization algorithm
- model selection
- optimization method
- optimization problems
- image features
- image representation
- nearest neighbor
- high dimensionality
- variable selection
- subspace clustering
- similarity search
- data points
- multi variate
- regression problems
- kernel function
- parameter space
- bag of words
- support vector