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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 2821–2830 of 3304 papers

Title	Date	Tasks	Status	Hype
Stable Recovery Of Sparse Vectors From Random Sinusoidal Feature Maps	Jan 23, 2017	Dimensionality Reduction	—Unverified	0
A Deep Convolutional Auto-Encoder with Pooling - Unpooling Layers in Caffe	Jan 18, 2017	ClusteringDecoder	—Unverified	0
Self-Taught Convolutional Neural Networks for Short Text Clustering	Jan 1, 2017	ClusteringDimensionality Reduction	CodeCode Available	0
Data-Driven Forecast of Dengue Outbreaks in Brazil: A Critical Assessment of Climate Conditions for Different Capitals	Dec 31, 2016	Compressive SensingDimensionality Reduction	—Unverified	0
Microstructure Representation and Reconstruction of Heterogeneous Materials via Deep Belief Network for Computational Material Design	Dec 22, 2016	Dimensionality Reduction	CodeCode Available	0
Stochastic Multidimensional Scaling	Dec 21, 2016	Dimensionality ReductionStochastic Optimization	—Unverified	0
Fractal Descriptors of Texture Images Based on the Triangular Prism Dimension	Dec 19, 2016	Dimensionality ReductionGeneral Classification	—Unverified	0
High Performance Software in Multidimensional Reduction Methods for Image Processing with Application to Ancient Manuscripts	Dec 19, 2016	ClusteringDimensionality Reduction	—Unverified	0
Self-calibrating Neural Networks for Dimensionality Reduction	Dec 11, 2016	Dimensionality Reduction	—Unverified	0
Non-Redundant Spectral Dimensionality Reduction	Dec 11, 2016	Dimensionality Reduction	—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