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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
CNTK: Microsoft's Open-Source Deep-Learning Toolkit	Aug 1, 2016	ClusteringDeep Learning	CodeCode Available	0
Pair Distance Distribution: A Model of Semantic Representation	Aug 1, 2016	Dimensionality Reductionmodel	—Unverified	0
Jointly Event Extraction and Visualization on Twitter via Probabilistic Modelling	Aug 1, 2016	Dimensionality ReductionEvent Extraction	—Unverified	0
Learning Word Meta-Embeddings	Aug 1, 2016	ClusteringDependency Parsing	—Unverified	0
A Novel Bilingual Word Embedding Method for Lexical Translation Using Bilingual Sense Clique	Jul 29, 2016	Dimensionality ReductionTranslation	—Unverified	0
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

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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