conftrace_

stochastic neighbor embedding

12 papers

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Also known as

SNE

Co-occurring keywords

dimensionality reduction (720) data visualization (64) nonlinear embedding (12) embedding similarity (32) fixed-point optimization (2) maximum likelihood estimation (233) unsupervised feature selection (14) low-dimensional embedding (20) unsupervised classification (14) optimization theory (45)

Papers

Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel (Extended Abstract) IJCAI 2022
Registration of Human Point Set Using Automatic Key Point Detection and Region-Aware Features WACV 2022
Steering Distortions to Preserve Classes and Neighbors in Supervised Dimensionality Reduction NIPS 2020
See without looking: joint visualization of sensitive multi-site datasets IJCAI 2017
Unsupervised Feature Selection by Preserving Stochastic Neighbors AISTATS 2016
A fast, universal algorithm to learn parametric nonlinear embeddings NIPS 2015
Linear-time training of nonlinear low-dimensional embeddings AISTATS 2014
Optimization Equivalence of Divergences Improves Neighbor Embedding ICML 2014
Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning ICML 2013
Generative Modeling for Maximizing Precision and Recall in Information Visualization AISTATS 2011
Heavy-Tailed Symmetric Stochastic Neighbor Embedding NIPS 2009
Visualizing Data using t-SNE JMLR 2008