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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 3281–3290 of 3304 papers

Title	Date	Tasks	Status	Hype
Quotient Based Multiresolution Image Fusion of Thermal and Visual Images Using Daubechies Wavelet Transform for Human Face Recognition	Jul 5, 2010	Dimensionality ReductionFace Recognition	—Unverified	0
Multi-Label Prediction via Sparse Infinite CCA	Dec 1, 2009	Dimensionality ReductionPrediction	—Unverified	0
Probabilistic Relational PCA	Dec 1, 2009	Dimensionality Reduction	—Unverified	0
STDP enables spiking neurons to detect hidden causes of their inputs	Dec 1, 2009	Dimensionality Reduction	—Unverified	0
Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming	Dec 1, 2009	ClusteringComputational Efficiency	—Unverified	0
Sparse Metric Learning via Smooth Optimization	Dec 1, 2009	Dimensionality ReductionMetric Learning	—Unverified	0
Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction	Dec 1, 2009	Dimensionality Reductionregression	—Unverified	0
Hilbert space embeddings and metrics on probability measures	Jul 30, 2009	Dimensionality Reduction	—Unverified	0
Feature Hashing for Large Scale Multitask Learning	Feb 12, 2009	Dimensionality Reduction	—Unverified	0
Localized Sliced Inverse Regression	Dec 1, 2008	Dimensionality ReductionGeneral Classification	—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