People-LDA: Anchoring Topics to People using Face Recognition.
Vidit JainErik G. Learned-MillerAndrew McCallumPublished in: ICCV (2007)
Keyphrases
- face recognition
- linear discriminant analysis
- latent dirichlet allocation
- topic models
- discriminant analysis
- topic modeling
- subspace methods
- small sample size
- face images
- latent topics
- human faces
- recognition rate
- principal component analysis
- face databases
- recognition accuracy
- face detection
- related topics
- local binary pattern
- topic discovery
- dimensionality reduction
- nonparametric discriminant analysis
- feature extraction
- generative model
- subspace analysis
- facial images
- text documents
- dimension reduction
- fisher criterion
- computer vision
- generalized discriminant analysis
- lda model
- key concepts
- sparse representation
- gabor features
- probabilistic model
- keywords
- information extraction
- text classification
- scatter matrices
- kernel pca
- kernel discriminant analysis
- linear dimensionality reduction
- discriminant information
- support vector machine svm