A strategy of classification via sparse dictionary learned by non-negative K-SVD.
Rongguo ZhangChunheng WangBaihua XiaoPublished in: ICCV Workshops (2009)
Keyphrases
- sparse representation
- dictionary learning
- image classification
- sparse codes
- sparse coding
- object category recognition
- discriminative dictionary
- image patches
- dimensionality reduction
- decision trees
- pattern recognition
- classification accuracy
- feature extraction
- support vector
- feature space
- decision rules
- image representation
- machine learning
- signal processing
- supervised learning
- face recognition
- natural images
- model selection
- class labels
- support vector machine
- positive and negative
- high dimensional
- compressive sensing
- data sets
- text classification
- sparse coefficients
- computer vision
- set of training images
- joint optimization
- learning phase
- multiresolution
- probabilistic model
- high dimensional data
- support vector machine svm
- unsupervised learning