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 2701–2725 of 3304 papers

Title	Date	Tasks	Status
Dimensionality Reduction for Binary Data through the Projection of Natural Parameters	Oct 21, 2015	Dimensionality Reduction	CodeCode Available
Computer vision-based framework for extracting geological lineaments from optical remote sensing data	Oct 4, 2018	Dimensionality ReductionEdge Detection	CodeCode Available
Deep Adaptive Arbitrary Polynomial Chaos Expansion: A Mini-data-driven Semi-supervised Method for Uncertainty Quantification	Jul 22, 2021	Dimensionality ReductionUncertainty Quantification	CodeCode Available
Dimensionality Reduction using Similarity-induced Embeddings	Jun 18, 2017	Dimensionality ReductionSupervised dimensionality reduction	CodeCode Available
Benign Autoencoders	Oct 2, 2022	DecoderDimensionality Reduction	CodeCode Available
Validating Clustering Frameworks for Electric Load Demand Profiles	Feb 26, 2021	ClusteringDimensionality Reduction	CodeCode Available
Unifying Summary Statistic Selection for Approximate Bayesian Computation	Jun 6, 2022	Bayesian InferenceDimensionality Reduction	CodeCode Available
Computer-aided Interpretable Features for Leaf Image Classification	Jun 15, 2021	ClassificationDimensionality Reduction	CodeCode Available
Theano: A Python framework for fast computation of mathematical expressions	May 9, 2016	BIG-bench Machine LearningClustering	CodeCode Available
Bayesian Sparse Tucker Models for Dimension Reduction and Tensor Completion	May 10, 2015	Compressive SensingDimensionality Reduction	CodeCode Available
Minimum Spectral Connectivity Projection Pursuit	Sep 4, 2015	ClusteringDimensionality Reduction	CodeCode Available
MISS: Multiclass Interpretable Scoring Systems	Jan 10, 2024	Binary ClassificationClassification	CodeCode Available
Spectral Flow on the Manifold of SPD Matrices for Multimodal Data Processing	Sep 17, 2020	Dimensionality Reduction	CodeCode Available
Dimension-reduced Optimization of Multi-zone Thermostatically Controlled Loads	May 1, 2025	Computational EfficiencyDimensionality Reduction	CodeCode Available
A ripple in time: a discontinuity in American history	Dec 2, 2023	Authorship AttributionDimensionality Reduction	CodeCode Available
Adversarially-Trained Nonnegative Matrix Factorization	Apr 10, 2021	Dimensionality ReductionMatrix Completion	CodeCode Available
Dimension Reduction and MARS	Feb 11, 2023	Dimensionality Reductionregression	CodeCode Available
Hyperspectral Image Classification: Artifacts of Dimension Reduction on Hybrid CNN	Jan 25, 2021	ClassificationDimensionality Reduction	CodeCode Available
Unsupervised Metric Learning in Presence of Missing Data	Jul 19, 2018	Dimensionality ReductionMatrix Completion	CodeCode Available
A Flexible Framework for Anomaly Detection via Dimensionality Reduction	Sep 9, 2019	Active LearningAnomaly Detection	CodeCode Available
Reducing the dimensionality of data using tempered distributions	Mar 12, 2019	Dimensionality Reduction	CodeCode Available
Mixtures of Skewed Matrix Variate Bilinear Factor Analyzers	Sep 7, 2018	ClusteringDimensionality Reduction	CodeCode Available
Dimension Reduction for Data with Heterogeneous Missingness	Sep 24, 2021	Dimensionality ReductionMissing Values	CodeCode Available
VAMPnets: Deep learning of molecular kinetics	Oct 16, 2017	ClusteringDeep Learning	CodeCode Available
Spectral Overlap and a Comparison of Parameter-Free, Dimensionality Reduction Quality Metrics	Jul 3, 2019	Dimensionality ReductionHyperparameter Optimization	CodeCode Available

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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