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 3176–3200 of 3304 papers

Title	Date	Tasks	Status
Cross-Temporal Spectrogram Autoencoder (CTSAE): Unsupervised Dimensionality Reduction for Clustering Gravitational Wave Glitches	Apr 23, 2024	ClusteringDimensionality Reduction	CodeCode Available
CoverBLIP: accelerated and scalable iterative matched-filtering for Magnetic Resonance Fingerprint reconstruction	Oct 3, 2018	Dimensionality ReductionQuantitative MRI	CodeCode Available
Affective Manifolds: Modeling Machine's Mind to Like, Dislike, Enjoy, Suffer, Worry, Fear, and Feel Like A Human	Aug 29, 2022	Dimensionality ReductionMetric Learning	CodeCode Available
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation	Nov 19, 2023	Dimensionality ReductionRepresentation Learning	CodeCode Available
Locally Linear Image Structural Embedding for Image Structure Manifold Learning	Aug 25, 2019	Dimensionality ReductionImage Quality Assessment	CodeCode Available
Solving Large-Scale Sparse PCA to Certifiable (Near) Optimality	May 11, 2020	Dimensionality Reduction	CodeCode Available
Local manifold learning and its link to domain-based physics knowledge	Jul 1, 2022	BenchmarkingDimensionality Reduction	CodeCode Available
Solving NMF with smoothness and sparsity constraints using PALM	Oct 31, 2019	AstronomyClustering	CodeCode Available
Genomic data analysis in tree spaces	Jul 25, 2016	Dimensionality Reduction	CodeCode Available
A Linearly Convergent Algorithm for Distributed Principal Component Analysis	Jan 5, 2021	Dimensionality Reduction	CodeCode Available
An evaluation framework for dimensionality reduction through sectional curvature	Mar 17, 2023	Dimensionality Reduction	CodeCode Available
On the use of the Gram matrix for multivariate functional principal components analysis	Jun 22, 2023	Dimensionality Reduction	CodeCode Available
Long-term Conversation Analysis: Exploring Utility and Privacy	Jun 28, 2023	Action DetectionActivity Detection	CodeCode Available
Supervised Dimensionality Reduction for Big Data	Sep 5, 2017	Computational EfficiencyDimensionality Reduction	CodeCode Available
Analyzing scRNA-seq data by CCP-assisted UMAP and t-SNE	Jun 23, 2023	Dimensionality Reductionfeature selection	CodeCode Available
Tuning-Free Structured Sparse PCA via Deep Unfolding Networks	Feb 28, 2025	Bayesian OptimizationDimensionality Reduction	CodeCode Available
SOM-VAE: Interpretable Discrete Representation Learning on Time Series	Jun 6, 2018	ClusteringDimensionality Reduction	CodeCode Available
On the Whitney near extension problem, BMO, alignment of data, best approximation in algebraic geometry, manifold learning and their beautiful connections: A modern treatment	Mar 17, 2021	ClusteringDimensionality Reduction	CodeCode Available
A Systematic Performance Analysis of Deep Perceptual Loss Networks: Breaking Transfer Learning Conventions	Feb 8, 2023	Depth EstimationDepth Prediction	CodeCode Available
Decomposing feature-level variation with Covariate Gaussian Process Latent Variable Models	Oct 16, 2018	Dimensionality Reduction	CodeCode Available
Adversarial Robustness of VAEs across Intersectional Subgroups	Jul 4, 2024	Adversarial RobustnessDimensionality Reduction	CodeCode Available
Covariance-free Partial Least Squares: An Incremental Dimensionality Reduction Method	Oct 5, 2019	Computational EfficiencyDimensionality Reduction	CodeCode Available
Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study	May 10, 2020	Dimensionality ReductionDomain Generalization	CodeCode Available
ADAGIO: Fast Data-aware Near-Isometric Linear Embeddings	Sep 17, 2016	Computational EfficiencyDimensionality Reduction	CodeCode Available
Representation Learning with Deconvolution for Multivariate Time Series Classification and Visualization	Oct 24, 2016	Dimensionality ReductionGeneral Classification	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