Boosting Shape Registration Algorithms via Reproducing Kernel Hilbert Space Regularizers.
Steven A. ParkisonMaani Ghaffari JadidiLu GanRay ZhangArash K. UshaniRyan M. EusticePublished in: IEEE Robotics Autom. Lett. (2019)
Keyphrases
- reproducing kernel hilbert space
- representer theorem
- loss function
- kernel methods
- euclidean space
- shape analysis
- kernel function
- density estimation
- kernel matrix
- learning theory
- distance measure
- real valued
- linear combination
- domain adaptation
- learning problems
- linear model
- prior knowledge
- input space
- support vector machine