Publications


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N. Ahmed and Campbell, M. E., Multimodal operator decision models, in American Control Conference, Seattle, WA, 2008, pp. 4504–4509.
N. Ahmed, Yang, T. - L., and Campbell, M. E., On Generalized Bayesian Data Fusion with Complex Models in Large Scale Networks, ArXiv e-prints, 2013.
N. Ahmed and Campbell, M. E., Fast Consistent Chernoff Fusion of Gaussian Mixtures for Ad Hoc Sensor Networks, IEEE Transactions on Signal Processing, vol. 60, pp. 6739–6745, 2012.
N. Ahmed, Bourgault, F., Shah, D. C., and Campbell, M. E., Probabilistic Operator-Multiple Robot Modeling Using Bayesian Network Representation, in AIAA Guidance, Navigation, and Control Conference, Hilton Head, SC, 2007, pp. 1–18.
N. Ahmed, Schoenberg, J. R., and Campbell, M. E., Fast Weighted Exponential Product Rules for Robust General Multi-Robot Data Fusion, in Robotics: Science and Systems, Sydney, Australia, 2012.
N. Ahmed and Campbell, M. E., On estimating simple probabilistic discriminative models with subclasses, Expert Systems with Applications, vol. 39, pp. 6659–6664, 2012.
N. Ahmed, Sample, E. M., Ho, K., Hoossainy, T., and Campbell, M. E., Categorical Soft Data Fusion via Variational Bayesian Importance Sampling , with Applications to Cooperative Search, in American Control Conference, San Francisco, CA, 2011, pp. 1268–1273.
N. Ahmed and Campbell, M. E., Variational Bayesian Learning of Probabilistic Discriminative Models With Latent Softmax Variables, IEEE Transactions on Signal Processing, vol. 59, pp. 3143–3154, 2011.
N. Ahmed, Sample, E. M., and Campbell, M. E., Bayesian Multicategorical Soft Data Fusion for Human–Robot Collaboration, IEEE Transactions on Robotics, vol. 29, pp. 189–206, 2013.
N. Ahmed and Campbell, M. E., Variational Learning of Autoregressive Mixtures of Experts for Fully Bayesian Hybrid System Identification, in American Control Conference, San Francisco, CA, 2011.
N. Ahmed and Campbell, M. E., Variational Bayesian data fusion of multi-class discrete observations with applications to cooperative human-robot estimation, in IEEE International Conference on Robotics and Automation, 2010, pp. 186–191.