Analyzing Human Behavior in Subspace: Dimensionality Reduction + Classification.
Yang LiuZhonglei GuTobey H. KoPublished in: MediaEval (2018)
Keyphrases
- human behavior
- dimensionality reduction
- feature extraction
- feature space
- high dimensionality
- pattern recognition
- high dimensional data
- low dimensional
- dimensionality reduction methods
- principal component analysis
- high dimensional
- pattern recognition and machine learning
- subspace learning
- kernel pca
- lower dimensional
- principal components
- principal components analysis
- support vector machine
- locality preserving projections
- supervised learning
- feature vectors
- daily life
- feature selection
- semi supervised dimensionality reduction
- agent behavior
- human subjects
- linear discriminant analysis
- data points
- training data
- discriminant analysis
- image retrieval
- moving objects
- high quality
- linear projection
- image processing