Margin-Embedding Canonical Correlation Analysis with Feature Selection for Person Re-Identification.
Linfei MaXiang ZhangLong LanXuhui HuangZhigang LuoPublished in: ICIP (2018)
Keyphrases
- canonical correlation analysis
- person re identification
- feature selection
- locality preserving projections
- support vector
- dimensionality reduction
- metric learning
- information gain
- dimensionality reduction methods
- partial least squares
- text categorization
- sparse coding
- least squares
- feature space
- feature representation
- mutual information
- multi task
- high dimensionality
- dimension reduction
- feature set
- riemannian manifolds
- linear discriminant analysis
- vector space
- face recognition
- machine learning
- model selection
- text classification
- support vector machine
- feature extraction
- object recognition
- principal component analysis
- knn
- cross validation
- unsupervised learning
- nearest neighbor
- classification accuracy
- high dimensional
- training set
- training data
- similarity measure