Composite Shape Modeling via Latent Space Factorization.
Anastasia DubrovinaFei XiaPanos AchlioptasMira ShalahLeonidas J. GuibasPublished in: CoRR (2019)
Keyphrases
- shape modeling
- latent space
- matrix factorization
- deformable models
- shape model
- latent variables
- gaussian process
- collaborative filtering
- low dimensional
- dimensionality reduction
- lower dimensional
- manifold learning
- generative model
- model fitting
- high dimensional
- parameter space
- recommender systems
- gaussian processes
- singular value decomposition
- feature space
- negative matrix factorization
- probabilistic latent semantic analysis
- pairwise
- missing data
- pattern recognition
- high dimensional data
- principal component analysis
- least squares
- object recognition