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 2891–2900 of 3304 papers

Title	Date	Tasks	Status	Hype
Dimensionality reduction based on Distance Preservation to Local Mean (DPLM) for SPD matrices and its application in BCI	Jul 29, 2016	Dimensionality Reduction	—Unverified	0
Genomic data analysis in tree spaces	Jul 25, 2016	Dimensionality Reduction	CodeCode Available	0
Extracting Geography from Trade Data	Jul 23, 2016	Dimensionality Reduction	—Unverified	0
Spatial Context based Angular Information Preserving Projection for Hyperspectral Image Classification	Jul 15, 2016	ClassificationDimensionality Reduction	—Unverified	0
Spectral Echolocation via the Wave Embedding	Jul 15, 2016	Dimensionality ReductionPosition	—Unverified	0
Random projections of random manifolds	Jul 14, 2016	Dimensionality Reduction	—Unverified	0
Fitting a Simplicial Complex using a Variation of k-means	Jul 13, 2016	ClusteringDimensionality Reduction	—Unverified	0
Incomplete Pivoted QR-based Dimensionality Reduction	Jul 12, 2016	Anomaly DetectionCollaborative Filtering	—Unverified	0
Convergence rates of Kernel Conjugate Gradient for random design regression	Jul 8, 2016	Dimensionality Reductionregression	—Unverified	0
Improving Sparse Representation-Based Classification Using Local Principal Component Analysis	Jul 4, 2016	ClassificationDimensionality Reduction	—Unverified	0

Show:10 25 50

← PrevPage 290 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