A Rotation Invariant Latent Factor Model for Moveme Discovery from Static Poses.
Matteo Ruggero RonchiJoon Sik KimYisong YuePublished in: ICDM (2016)
Keyphrases
- rotation invariant
- latent factor models
- rotation invariance
- texture analysis
- zernike moments
- texture classification
- local binary pattern
- feature vectors
- scale invariance
- collaborative filtering
- knowledge discovery
- texture features
- recommender systems
- matrix factorization
- gabor filters
- texture images
- latent factors
- dominant orientation
- topic models
- object recognition
- image segmentation
- feature selection
- computer vision