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Dimensionality Reduction

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

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Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 101–110 of 3304 papers

Title	Date	Tasks	Status	Hype
Path Development Network with Finite-dimensional Lie Group Representation	Apr 2, 2022	Dimensionality ReductionIrregular Time Series	CodeCode Available	1
Transformers for 1D Signals in Parkinson's Disease Detection from Gait	Apr 1, 2022	Dimensionality Reduction	CodeCode Available	1
Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction	Mar 24, 2022	16kData Augmentation	CodeCode Available	1
AUCO ResNet: an end-to-end network for Covid-19 pre-screening from cough and breath	Mar 15, 2022	8kAudio Classification	CodeCode Available	1
Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed Data	Mar 3, 2022	Dimensionality ReductionFederated Learning	CodeCode Available	1
Distributed Out-of-Memory NMF on CPU/GPU Architectures	Feb 19, 2022	CPUDimensionality Reduction	CodeCode Available	1
An efficient aggregation method for the symbolic representation of temporal data	Jan 14, 2022	Dimensionality ReductionInformation Retrieval	CodeCode Available	1
SLISEMAP: Supervised dimensionality reduction through local explanations	Jan 12, 2022	ClassificationDimensionality Reduction	CodeCode Available	1
Scalable semi-supervised dimensionality reduction with GPU-accelerated EmbedSOM	Jan 3, 2022	Data VisualizationDimensionality Reduction	CodeCode Available	1
Triangle Attack: A Query-efficient Decision-based Adversarial Attack	Dec 13, 2021	Adversarial AttackDimensionality Reduction	CodeCode Available	1

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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