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