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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 2101–2110 of 3304 papers

Title	Date	Tasks	Status	Hype
Deep topic modeling by multilayer bootstrap network and lasso	Oct 24, 2019	ClusteringDimensionality Reduction	—Unverified	0
Autoencoding with a Classifier System	Oct 23, 2019	DecoderDimensionality Reduction	CodeCode Available	1
Lucene for Approximate Nearest-Neighbors Search on Arbitrary Dense Vectors	Oct 22, 2019	Dimensionality ReductionWord Embeddings	—Unverified	0
Unsupervised Boosting-based Autoencoder Ensembles for Outlier Detection	Oct 22, 2019	Dimensionality ReductionDiversity	CodeCode Available	0
Supervised tensor decomposition with features on multiple modes	Oct 21, 2019	Dimensionality ReductionTensor Decomposition	—Unverified	0
Multi-Band Multi-Resolution Fully Convolutional Neural Networks for Singing Voice Separation	Oct 21, 2019	Dimensionality Reduction	CodeCode Available	0
Supporting Multi-point Fan Design with Dimension Reduction	Oct 20, 2019	Dimensionality Reductionregression	CodeCode Available	0
LEt-SNE: A Hybrid Approach To Data Embedding and Visualization of Hyperspectral Imagery	Oct 19, 2019	ClusteringDimensionality Reduction	CodeCode Available	0
Privacy-preserving Federated Bayesian Learning of a Generative Model for Imbalanced Classification of Clinical Data	Oct 18, 2019	Data IntegrationDimensionality Reduction	—Unverified	0
A Topological "Reading" Lesson: Classification of MNIST using TDA	Oct 18, 2019	BIG-bench Machine LearningClassification	—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