Preserving discriminant manifold subspace learning for plant leaf recognition.
Qicong WangJinhao ZhaoMaozhen LiChangrong CaoYunqi LeiPublished in: ICNC-FSKD (2016)
Keyphrases
- image classification
- subspace learning
- feature extraction
- manifold learning
- sparse coding
- low dimensional
- dimensionality reduction
- visual learning
- sparse representation
- locality preserving projections
- principal component analysis
- appearance based object recognition
- linear subspace
- subspace analysis
- grassmann manifold
- manifold structure
- discriminant subspace
- fisher criterion
- face recognition
- discriminant analysis
- pattern recognition
- graph embedding
- high dimensional
- feature space
- subspace learning algorithm
- high dimensional data
- data representation
- object recognition
- image features
- neural network
- unsupervised learning
- locally linear embedding
- face images
- learning algorithm
- riemannian metric
- head pose estimation
- action recognition
- euclidean space
- vector space