49 search results - page 6 / 10 » Semi-Supervised Learning via Generalized Maximum Entropy |
IROS
2009
IEEE
14 years 2 months ago
2009
IEEE
— We present a novel approach for determining robot movements that efficiently accomplish the robot’s tasks while not hindering the movements of people within the environment....
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...
PR
2006
13 years 7 months ago
2006
Gaussian fields (GF) have recently received considerable attention for dimension reduction and semi-supervised classification. In this paper we show how the GF framework can be us...
IPMI
2003
Springer
14 years 8 months ago
2003
Springer
Abstract. We present a Bayesian multimodality non-rigid image registration method. Since the likelihood is unknown in the general multimodality setting, we use a density estimator ...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
The power and popularity of kernel methods stem in part from their ability to handle diverse forms of structured inputs, including vectors, graphs and strings. Recently, several m...