296 search results - page 6 / 60 » Learning Switching Linear Models of Human Motion |
JMLR
2012
11 years 10 months ago
2012
Temporal Clustering (TC) refers to the factorization of multiple time series into a set of non-overlapping segments that belong to k temporal clusters. Existing methods based on e...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
IROS
2008
IEEE
14 years 2 months ago
2008
IEEE
Abstract— This paper develops an approach for on-line segmentation of whole body human motion patterns during human motion observation and learning. A Hidden Markov Model is used...
NIPS
2008
13 years 9 months ago
2008
Many nonlinear dynamical phenomena can be effectively modeled by a system that switches among a set of conditionally linear dynamical modes. We consider two such models: the switc...