Dense and Low-Rank Gaussian CRFs Using Deep Embeddings.
Siddhartha ChandraNicolas UsunierIasonas KokkinosPublished in: ICCV (2017)
Keyphrases
- low rank
- high dimensional data
- conditional random fields
- convex optimization
- matrix factorization
- missing data
- singular value decomposition
- linear combination
- matrix completion
- higher order
- kernel matrix
- semi supervised
- dimensionality reduction
- low rank matrix
- high order
- matrix decomposition
- low dimensional
- trace norm
- rank minimization
- vector space
- manifold learning
- maximum likelihood
- minimization problems
- robust principal component analysis
- structured prediction
- graphical models
- euclidean space
- information extraction
- distance measure
- nearest neighbor
- markov random field
- knn
- high dimensional
- bayesian networks
- low rank matrices
- data mining