1491 search results - page 217 / 299 » The Robot Intelligence Kernel |
ESSMAC
2003
Springer
15 years 4 months ago
2003
Springer
We apply a constrained Hidden Markov Model architecture to the problem of simultaneous localization and surveying from sensor logs of mobile agents navigating in unknown environmen...
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IJCNN
2008
IEEE
15 years 5 months ago
2008
IEEE
— We discuss sparse support vector machines (sparse SVMs) trained in the reduced empirical feature space. Namely, we select the linearly independent training data by the Cholesky...
SMC
2007
IEEE
15 years 5 months ago
2007
IEEE
Abstract—In this paper, a software architecture and knowledge representation scheme that enables the combination and reconfiguration of modular sensor and actuator components is...
WILF
2007
Springer
15 years 5 months ago
2007
Springer
In this paper we propose the Possibilistic C-Means in Feature Space and the One-Cluster Possibilistic C-Means in Feature Space algorithms which are kernel methods for clustering in...
IDEAL
2004
Springer
15 years 4 months ago
2004
Springer
A novel technique is presented to construct sparse regression models based on the orthogonal least square method with boosting. This technique tunes the mean vector and diagonal c...