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VTC
2006
IEEE
110views Communications» more  VTC 2006»
15 years 10 months ago
Recurrent Neural Network Based Narrowband Channel Prediction
Abstract—In this contribution, the application of fully connected recurrent neural networks (FCRNNs) is investigated in the context of narrowband channel prediction. Three differ...
Wei Liu, Lie-Liang Yang, Lajos Hanzo
ICCV
2001
IEEE
16 years 6 months ago
Learning Image Statistics for Bayesian Tracking
This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...
Hedvig Sidenbladh, Michael J. Black
RTCSA
2007
IEEE
15 years 11 months ago
Activity Recognition Based on Semi-supervised Learning
Activity recognition is a hot topic in context-aware computing. In activity recognition, machine learning techniques have been widely applied to learn the activity models from lab...
Donghai Guan, Weiwei Yuan, Young-Koo Lee, Andrey G...
MTSR
2007
Springer
15 years 10 months ago
Quality Metrics in Learning Objects
In today's rapidly evolving society, the range and depth of information available to us is quickly growing which affects educational institutions, who find it difficult to kee...
Juan F. Cervera, María G. López-L&oa...
IJCNN
2006
IEEE
15 years 10 months ago
Bi-directional Modularity to Learn Visual Servoing Tasks
— This paper shows the advantage of using neural network modularity over conventional learning schemes to approximate complex functions. Indeed, it is difficult for artificial ...
Gilles Hermann, Patrice Wira, Jean-Philippe Urban