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Clustering microbiome data using mixtures of logistic normal multinomial models
Discrete data such as counts of microbiome taxa resulting from next-gene...
11/12/2020 ∙ by Yuan Fang, et al. ∙
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Spatial Transformer Point Convolution
Point clouds are unstructured and unordered in the embedded 3D space. In...
09/03/2020 ∙ by Yuan Fang, et al. ∙
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Recent Advances in Network-based Methods for Disease Gene Prediction
Disease-gene association through Genome-wide association study (GWAS) is...
07/19/2020 ∙ by Sezin Kircali Ata, et al. ∙
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Adaptive Task Sampling for Meta-Learning
Meta-learning methods have been extensively studied and applied in compu...
07/17/2020 ∙ by Chenghao Liu, et al. ∙
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Emotion Recognition in Audio and Video Using Deep Neural Networks
Humans are able to comprehend information from multiple domains for e.g....
06/15/2020 ∙ by Mandeep Singh, et al. ∙
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Multi-View Collaborative Network Embedding
Real-world networks often exist with multiple views, where each view des...
05/17/2020 ∙ by Sezin Kircali Ata, et al. ∙
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Infinite mixtures of multivariate normal-inverse Gaussian distributions for clustering of skewed data
Mixtures of multivariate normal inverse Gaussian (MNIG) distributions ca...
05/11/2020 ∙ by Yuan Fang, et al. ∙
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A Bayesian approach for clustering skewed data using mixtures of multivariate normal-inverse Gaussian distributions
Non-Gaussian mixture models are gaining increasing attention for mixture...
05/06/2020 ∙ by Yuan Fang, et al. ∙
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Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text
The YouTube-8M video classification challenge requires teams to classify...
06/17/2017 ∙ by Zhe Wang, et al. ∙
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