In this paper, we (1) provide a complete framework for classification using Variational Mixture of Experts (VME); (2) derive the variational lower bound; ...

Abstract—In this paper, we (1) provide a complete frame- work for classification using Variational Mixture of Experts. (VME); (2) derive the variational ...

In this paper, we (1) provide a complete framework for classification using Variational Mixture of Experts (VME); (2) derive the variational lower bound; ...

Abstract—In this paper, we (1) provide a complete frame- work for classification using Variational Mixture of Experts. (VME); (2) derive the variational ...

In this work, we applied Bayesian cross-categorization (CrossCat) to a heterogeneous set of features derived from EMI sensor time-series for purposes of buried ...

This page shows the traffic from major research institutions for Variational Mixture of Experts for Classification with Applications to Landmine Detection ...

Variational Mixture of Experts for Classification with Applications to. Landmine Detection,. 2010 20th International Conference on Pattern Recognition (ICPR).

This study introduces a novel mixture of experts (ME) model, the mixture of hidden Markov model experts, for context-based classification of samples that ...

Yuksel, P. D. Gader, “Variational Mixture of Experts For Classification with Applications to Landmine Detection”, Proceedings of 20th International ...

Variational Mixture of Experts For Classification with Applications to Landmine Detection. 2010 International Conference on Pattern …, Jan 1, 2010. Bookmark ...