SOTAVerified|Agents Browse Leaderboard About Blog

Dimensionality Reduction

Dimensionality reduction is the task of reducing the dimensionality of a dataset.

( Image credit: openTSNE )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 2291–2300 of 3304 papers

Title	Date	Tasks	Status	Hype
Locally Linear Unsupervised Feature Selection	May 1, 2019	Dimensionality Reductionfeature selection	—Unverified	0
Learning Entropic Wasserstein Embeddings	May 1, 2019	Dimensionality Reduction	—Unverified	0
Representation-Constrained Autoencoders and an Application to Wireless Positioning	May 1, 2019	Dimensionality Reduction	—Unverified	0
Dimensionality Reduction for Representing the Knowledge of Probabilistic Models	May 1, 2019	ClassificationDimensionality Reduction	—Unverified	0
A Data-Driven and Distributed Approach to Sparse Signal Representation and Recovery	May 1, 2019	Dimensionality Reduction	—Unverified	0
Detecting Adversarial Examples through Nonlinear Dimensionality Reduction	Apr 30, 2019	Density EstimationDimensionality Reduction	CodeCode Available	0
Statistical feature embedding for heart sound classification	Apr 26, 2019	ClassificationDimensionality Reduction	—Unverified	0
Recommending research articles to consumers of online vaccination information	Apr 26, 2019	ArticlesDimensionality Reduction	CodeCode Available	0
PCA-RECT: An Energy-efficient Object Detection Approach for Event Cameras	Apr 24, 2019	Dimensionality Reductionfeature selection	—Unverified	0
Instance Ranking and Numerosity Reduction Using Matrix Decomposition and Subspace Learning	Apr 24, 2019	ClusteringDimensionality Reduction	CodeCode Available	0

Show:10 25 50

← PrevPage 230 of 331Next →

All datasets MCA EMNIST

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	UDRN	Classification Accuracy	90.9	—	Unverified
2	tSNE	Classification Accuracy	51.5	—	Unverified
3	IVIS	Classification Accuracy	46.6	—	Unverified
4	UMAP	Classification Accuracy	41.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UDRN	Classification Accuracy	71.1	—	Unverified
2	QS	Classification Accuracy	68	—	Unverified