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von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification
Results show the effectiveness and excellent generalization ability of the proposed approach as it achieves state-of-the-art results on the LFW, YouTube faces and CACD datasets and competitive results on the IJB-A dataset.
Spectral video construction from RGB video: Application to Image Guided Neurosurgery
In this research, we propose a framework to generate neurosurgery spectral video from RGB video.
Opinion mining from twitter data using evolutionary multinomial mixture models
In this paper, we propose a novel evolutionary clustering method based on the parametric link among Multinomial mixture models.
Joint Color-Spatial-Directional clustering and Region Merging (JCSD-RM) for unsupervised RGB-D image segmentation
We evaluate our method on the NYU depth database and compare it with existing unsupervised RGB-D segmentation methods.
Simultaneous Clustering and Model Selection for Multinomial Distribution: A Comparative Study
In this paper, we study different discrete data clustering methods, which use the Model-Based Clustering (MBC) framework with the Multinomial distribution.
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