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AAAI
2004
14 years 11 months ago
Learning and Inferring Transportation Routines
This paper introduces a hierarchical Markov model that can learn and infer a user's daily movements through the commue model uses multiple levels of abstraction in order to b...
Lin Liao, Dieter Fox, Henry A. Kautz
IDA
2003
Springer
15 years 3 months ago
Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies
Abstract. Many examples exist of multivariate time series where dependencies between variables change over time. If these changing dependencies are not taken into account, any mode...
Allan Tucker, Xiaohui Liu
ICASSP
2010
IEEE
14 years 10 months ago
Distributed learning in cognitive radio networks: Multi-armed bandit with distributed multiple players
—We consider a cognitive radio network with distributed multiple secondary users, where each user independently searches for spectrum opportunities in multiple channels without e...
Keqin Liu, Qing Zhao
CEC
2003
IEEE
15 years 3 months ago
Anytime coevolution of form and function
Abstract- This paper describes an approach to continuous coevolution of form (the morphology) and function (the control behavior) for autonomous vehicles. This study focuses on coe...
Magdalena D. Bugajska, Alan C. Schultz
EDUTAINMENT
2008
Springer
14 years 12 months ago
Efficient Method for Point-Based Rendering on GPUs
Abstract. We describe methods for high-performance and high-quality rendering of point models, including advanced shading, anti-aliasing, and transparency. we keep the rendering qu...
La-mei Yan, You-wei Yuan