Subspace learning based active learning for image retrieval.
Biao NiuYifan ZhangJinqiao WangJian ChengHanqing LuPublished in: ICME Workshops (2013)
Keyphrases
- subspace learning
- active learning
- image retrieval
- semi supervised
- relevance feedback
- learning algorithm
- dimensionality reduction
- data representation
- manifold learning
- low dimensional
- principal component analysis
- sparse coding
- face recognition
- sparse representation
- image representation
- supervised learning
- machine learning
- unsupervised learning
- maximum margin criterion
- high dimensional data
- high dimensional
- data points
- natural images
- image classification
- training set
- feature space
- relational databases
- learning process