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Dimensionality Reduction

Dimensionality reduction is the task of reducing the dimensionality of a dataset.

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Papers

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Showing 151–175 of 3304 papers

TitleStatusHype
An efficient aggregation method for the symbolic representation of temporal dataCode1
A New Basis for Sparse Principal Component AnalysisCode1
Explaining dimensionality reduction results using Shapley valuesCode1
An Embedding is Worth a Thousand Noisy LabelsCode1
Application of Clustering Algorithms for Dimensionality Reduction in Infrastructure Resilience Prediction ModelsCode1
Fast conformational clustering of extensive molecular dynamics simulation dataCode1
FDApy: a Python package for functional dataCode1
A new computationally efficient algorithm to solve Feature Selection for Functional Data Classification in high-dimensional spacesCode1
A Hybrid Architecture for Out of Domain Intent Detection and Intent DiscoveryCode1
Bayesian Optimization of Sampling Densities in MRICode1
GCN-DevLSTM: Path Development for Skeleton-Based Action RecognitionCode1
A Primer on the Signature Method in Machine LearningCode1
Approximating Likelihood Ratios with Calibrated Discriminative ClassifiersCode1
On Path Integration of Grid Cells: Group Representation and Isotropic ScalingCode1
GiDR-DUN; Gradient Dimensionality Reduction -- Differences and UnificationCode1
Going Beyond T-SNE: Exposing whatlies in Text EmbeddingsCode1
Curvature-based Feature Selection with Application in Classifying Electronic Health RecordsCode1
Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality ReductionCode1
Deep active subspaces - a scalable method for high-dimensional uncertainty propagationCode1
DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality ReductionCode1
A tutorial on generalized eigendecomposition for denoising, contrast enhancement, and dimension reduction in multichannel electrophysiologyCode1
AUCO ResNet: an end-to-end network for Covid-19 pre-screening from cough and breathCode1
Algorithmic Stability and Generalization of an Unsupervised Feature Selection AlgorithmCode1
HUMAP: Hierarchical Uniform Manifold Approximation and ProjectionCode1
Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICACode1
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All datasetsMCAEMNIST

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy90.9—Unverified
2tSNEClassification Accuracy51.5—Unverified
3IVISClassification Accuracy46.6—Unverified
4UMAPClassification Accuracy41.3—Unverified
#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy71.1—Unverified
2QSClassification Accuracy68—Unverified