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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 2171–2180 of 3304 papers

Title	Date	Tasks	Status	Hype
Semantic Relatedness Based Re-ranker for Text Spotting	Sep 17, 2019	ClusteringDimensionality Reduction	CodeCode Available	0
PixelHop: A Successive Subspace Learning (SSL) Method for Object Classification	Sep 17, 2019	BenchmarkingDecision Making	CodeCode Available	0
Knowledge Discovery In Nanophotonics Using Geometric Deep Learning	Sep 16, 2019	Deep LearningDimensionality Reduction	—Unverified	0
Incorporating dynamicity of transportation network with multi-weight traffic graph convolutional network for traffic forecasting	Sep 16, 2019	Dimensionality Reduction	CodeCode Available	0
Multi-Perspective, Simultaneous Embedding	Sep 13, 2019	Dimensionality Reduction	CodeCode Available	0
Revealing computational mechanisms of retinal prediction via model reduction	Sep 11, 2019	Dimensionality ReductionPrediction	—Unverified	0
Computer-Aided Automated Detection of Gene-Controlled Social Actions of Drosophila	Sep 11, 2019	Action DetectionClassification	—Unverified	0
Recurrent neural networks learn robust representations by dynamically balancing compression and expansion	Sep 11, 2019	Dimensionality Reduction	—Unverified	0
Imitation Learning from Pixel-Level Demonstrations by HashReward	Sep 9, 2019	Dimensionality ReductionImitation Learning	—Unverified	0
Sequential Convolutional Recurrent Neural Networks for Fast Automatic Modulation Classification	Sep 9, 2019	ClassificationDimensionality Reduction	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