Neural Coarse-Graining: Extracting slowly-varying latent degrees of freedom with neural networks.
Nicholas GuttenbergMartin BiehlRyota KanaiPublished in: CoRR (2016)
Keyphrases
- degrees of freedom
- neural network
- slowly varying
- network architecture
- wide band
- pose estimation
- motion planning
- motion tracking
- end effector
- spatial frequency
- robotic arm
- latent variables
- configuration space
- multiresolution
- parallel manipulator
- minimally invasive surgery
- articulated objects
- articulated hand
- texture segmentation
- dynamic model
- neural network model
- path planning
- d objects
- computer vision