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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 2861–2870 of 3304 papers

Title	Date	Tasks	Status	Hype
Sequential Low-Rank Change Detection	Oct 3, 2016	Change DetectionDimensionality Reduction	—Unverified	0
Decoding dynamic brain patterns from evoked responses: A tutorial on multivariate pattern analysis applied to time-series neuroimaging data	Sep 30, 2016	Brain DecodingDimensionality Reduction	—Unverified	0
The face-space duality hypothesis: a computational model	Sep 23, 2016	Dimensionality Reductionmodel	—Unverified	0
Multi-view Dimensionality Reduction for Dialect Identification of Arabic Broadcast Speech	Sep 19, 2016	Dialect IdentificationDimensionality Reduction	—Unverified	0
ADAGIO: Fast Data-aware Near-Isometric Linear Embeddings	Sep 17, 2016	Computational EfficiencyDimensionality Reduction	CodeCode Available	0
Recursive nearest agglomeration (ReNA): fast clustering for approximation of structured signals	Sep 15, 2016	ClusteringDenoising	CodeCode Available	0
Supervised multiway factorization	Sep 11, 2016	Dimensionality Reduction	CodeCode Available	0
Peacock Bundles: Bundle Coloring for Graphs with Globality-Locality Trade-off	Sep 2, 2016	Dimensionality Reduction	—Unverified	0
Robust Discriminative Clustering with Sparse Regularizers	Aug 29, 2016	ClusteringDimensionality Reduction	—Unverified	0
Constraint matrix factorization for space variant PSFs field restoration	Aug 29, 2016	Dimensionality ReductionSuper-Resolution	CodeCode Available	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