Low-Dimensional Discriminative Reranking.
Jagadeesh JagarlamudiHal Daumé IIIPublished in: HLT-NAACL (2012)
Keyphrases
- low dimensional
- high dimensional
- latent space
- dimensionality reduction
- high dimensional data
- manifold learning
- data points
- euclidean space
- image search
- principal component analysis
- feature space
- video search
- semi supervised
- multidimensional scaling
- lower dimensional
- feature extraction
- dimension reduction
- gaussian process latent variable models
- input space
- linear dimensionality reduction
- feature selection
- visual features
- vector space
- discriminative power
- data sets
- class labels
- subspace learning
- linear subspace
- image classification
- probabilistic model
- nonlinear dimensionality reduction
- graph embedding
- image processing