40 citations · 151 across the 14 of their papers we have counts for
3 papers · 1 filter
Low-dimensional embeddings of high-dimensional data
Cyril de Bodt, Alex Diaz-Papkovich, Michael Bleher +18
Large collections of high-dimensional data have become nearly ubiquitous across many academic fields and application domains, ranging from biology to the humanities. Since working…
Deep Recursive Embedding for High-Dimensional Data
Zixia Zhou, Xinrui Zu, Yuanyuan Wang +2
Embedding high-dimensional data onto a low-dimensional manifold is of both theoretical and practical value. In this paper, we propose to combine deep neural networks (DNN) with mat…
GPGPU Linear Complexity t-SNE Optimization
Nicola Pezzotti, Julian Thijssen, Alexander Mordvintsev +5
The t-distributed Stochastic Neighbor Embedding (tSNE) algorithm has become in recent years one of the most used and insightful techniques for the exploratory data analysis of high…