217 search results - page 30 / 44 » Incremental learning of nonparametric Bayesian mixture model... |
114
Voted
NIPS
2008
15 years 1 months ago
2008
Motor primitives or motion templates have become an important concept for both modeling human motor control as well as generating robot behaviors using imitation learning. Recent ...
109
click to vote
PKDD
2009
Springer
15 years 6 months ago
2009
Springer
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...
TSP
2011
14 years 6 months ago
2011
—Radar high-resolution range profiles (HRRPs) are typical high-dimensional, non-Gaussian and interdimension dependently distributed data, the statistical modelling of which is a...
NIPS
2008
15 years 1 months ago
2008
Learning in real-time applications, e.g., online approximation of the inverse dynamics model for model-based robot control, requires fast online regression techniques. Inspired by...
ICCV
2003
IEEE
16 years 1 months ago
2003
IEEE
We present a method for unsupervised learning of classes of motions in video. We project optical flow fields to a complete, orthogonal, a-priori set of basis functions in a probab...