Motion Prediction Using VC-Generalization Bounds.
Harry WechslerZoran DuricFayin LiVladimir CherkasskyPublished in: ICPR (1) (2002)
Keyphrases
- motion prediction
- generalization bounds
- vc dimension
- short term
- kalman filter
- motion estimation
- statistical learning theory
- upper bound
- sample complexity
- learning theory
- motion vectors
- sample size
- generalization ability
- data dependent
- long term
- inductive inference
- lower bound
- video coding
- learning machines
- worst case
- model selection
- euclidean space
- inter layer
- rate distortion
- linear classifiers
- compression scheme
- learning problems
- computer vision
- generalization error
- artificial neural networks
- principal component analysis
- image registration
- image segmentation