
-
Clustering microbiome data using mixtures of logistic normal multinomial models
Discrete data such as counts of microbiome taxa resulting from next-gene...
read it
-
Spatial Transformer Point Convolution
Point clouds are unstructured and unordered in the embedded 3D space. In...
read it
-
Recent Advances in Network-based Methods for Disease Gene Prediction
Disease-gene association through Genome-wide association study (GWAS) is...
read it
-
Adaptive Task Sampling for Meta-Learning
Meta-learning methods have been extensively studied and applied in compu...
read it
-
Emotion Recognition in Audio and Video Using Deep Neural Networks
Humans are able to comprehend information from multiple domains for e.g....
read it
-
Multi-View Collaborative Network Embedding
Real-world networks often exist with multiple views, where each view des...
read it
-
Infinite mixtures of multivariate normal-inverse Gaussian distributions for clustering of skewed data
Mixtures of multivariate normal inverse Gaussian (MNIG) distributions ca...
read it
-
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...
read it
-
Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text
The YouTube-8M video classification challenge requires teams to classify...
read it