Unsupervised Face Recognition from Image Sequences Based on Clustering with Attraction and Repulsion.
Bisser RaytchevHiroshi MurasePublished in: CVPR (2) (2001)
Keyphrases
- image sequences
- face recognition
- unsupervised learning
- clustering algorithm
- clustering method
- unsupervised classification
- k means
- agglomerative clustering
- computer vision
- hierarchical clustering
- unsupervised feature selection
- unsupervised manner
- categorical data
- discriminant analysis
- cluster analysis
- three dimensional
- spatio temporal
- cluster validation
- information bottleneck
- structure from motion
- completely unsupervised
- unsupervised clustering
- recognition rate
- data clustering
- self organizing maps
- semi supervised
- minimum message length
- motion analysis
- optical flow
- face databases
- information theoretic
- supervised classification
- principal component analysis
- data sets
- web people search
- local binary pattern
- sparse representation
- face images
- supervised learning
- data points
- machine learning