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 601–625 of 3304 papers

Title	Date	Tasks	Status	Score
ENS-t-SNE: Embedding Neighborhoods Simultaneously t-SNE	May 24, 2022	Dimensionality Reduction	CodeCode Available	5
Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and Dimensionality	May 7, 2021	Dimensionality Reduction	CodeCode Available	5
A Computational Topology-based Spatiotemporal Analysis Technique for Honeybee Aggregation	Jul 19, 2023	Change Point DetectionDimensionality Reduction	CodeCode Available	5
Cluster Exploration using Informative Manifold Projections	Sep 26, 2023	Dimensionality Reduction	CodeCode Available	5
Capturing patterns of variation unique to a specific dataset	Apr 16, 2021	Dimensionality Reduction	CodeCode Available	5
Enhanced Expressive Power and Fast Training of Neural Networks by Random Projections	Nov 22, 2018	compressed sensingDimensionality Reduction	CodeCode Available	5
A Big Data Architecture for Early Identification and Categorization of Dark Web Sites	Jan 24, 2024	Dimensionality Reduction	CodeCode Available	5
Dimensionality Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon Forecasting	Mar 27, 2023	Dimensionality ReductionState Estimation	CodeCode Available	5
Clustering Noisy Signals with Structured Sparsity Using Time-Frequency Representation	Oct 18, 2015	ClusteringDimensionality Reduction	CodeCode Available	5
An Information Theory-Based Feature Selection Framework for Big Data Under Apache Spark	Jul 6, 2017	Dimensionality Reductionfeature selection	CodeCode Available	5
Weight Matrix Dimensionality Reduction in Deep Learning via Kronecker Multi-layer Architectures	Apr 8, 2022	Deep LearningDimensionality Reduction	CodeCode Available	5
Dimensionality Reduction using Similarity-induced Embeddings	Jun 18, 2017	Dimensionality ReductionSupervised dimensionality reduction	CodeCode Available	5
Capacity Preserving Mapping for High-dimensional Data Visualization	Sep 29, 2019	Data VisualizationDimensionality Reduction	CodeCode Available	5
Detecting Adversarial Examples through Nonlinear Dimensionality Reduction	Apr 30, 2019	Density EstimationDimensionality Reduction	CodeCode Available	5
An evaluation framework for dimensionality reduction through sectional curvature	Mar 17, 2023	Dimensionality Reduction	CodeCode Available	5
Exploring the Influence of Dimensionality Reduction on Anomaly Detection Performance in Multivariate Time Series	Mar 7, 2024	Anomaly DetectionDimensionality Reduction	CodeCode Available	5
CNTK: Microsoft's Open-Source Deep-Learning Toolkit	Aug 1, 2016	ClusteringDeep Learning	CodeCode Available	5
Detecting covariate drift in text data using document embeddings and dimensionality reduction	Sep 17, 2023	ClassificationDimensionality Reduction	CodeCode Available	5
Demixed principal component analysis of population activity in higher cortical areas reveals independent representation of task parameters	Oct 22, 2014	Decision MakingDimensionality Reduction	CodeCode Available	5
Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift	Oct 29, 2018	Dimensionality ReductionTwo-sample testing	CodeCode Available	5
Derivative-enhanced Deep Operator Network	Feb 29, 2024	Dimensionality Reduction	CodeCode Available	5
Linear and Quadratic Discriminant Analysis: Tutorial	Jun 1, 2019	Dimensionality ReductionGeneral Classification	CodeCode Available	5
Fast Single Image Dehazing via Multilevel Wavelet Transform based Optimization	Apr 18, 2019	Computational EfficiencyDimensionality Reduction	CodeCode Available	5
Combatting Adversarial Attacks through Denoising and Dimensionality Reduction: A Cascaded Autoencoder Approach	Dec 7, 2018	BIG-bench Machine LearningDenoising	CodeCode Available	5
Degradation Modeling and Prognostic Analysis Under Unknown Failure Modes	Feb 29, 2024	Dimensionality Reduction	CodeCode Available	5

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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