Search Results for author:
Found 4 papers, 2 papers with code
Visualizing Data using GTSNE
We present a new method GTSNE to visualize high-dimensional data points in the two dimensional map.
Visualizing Data Velocity using DSNE
The technique is a variation of Stochastic Neighbor Embedding, which uses the Euclidean distance on the unit sphere between the unit-length velocity of the point and the unit-length direction from the point to its near neighbors to define similarities, and try to match the two kinds of similarities in the high dimension space and low dimension space to find the velocity embeddings on the low dimension space.
A Tutorial on the Mathematical Model of Single Cell Variational Inference
As the large amount of sequencing data accumulated in past decades and it is still accumulating, we need to handle the more and more sequencing data.
Learning the Sparse and Low Rank PARAFAC Decomposition via the Elastic Net
In this article, we derive a Bayesian model to learning the sparse and low rank PARAFAC decomposition for the observed tensor with missing values via the elastic net, with property to find the true rank and sparse factor matrix which is robust to the noise.
