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Dimensionality Reduction

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

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Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2201–2250 of 3304 papers

TitleStatusHype
Null Space Analysis for Class-Specific Discriminant Learning—0
A Critical Note on the Evaluation of Clustering Algorithms—0
Zero-Shot Feature Selection via Transferring Supervised Knowledge—0
GridDehazeNet: Attention-Based Multi-Scale Network for Image DehazingCode0
Visualizing the PHATE of Neural NetworksCode0
Improving Channel Charting with Representation-Constrained Autoencoders—0
Online Detection of Sparse Changes in High-Dimensional Data Streams Using Tailored ProjectionsCode0
Neuroscience-inspired online unsupervised learning algorithms—0
Likelihood Contribution based Multi-scale Architecture for Generative Flows—0
Effective Dimensionality Reduction for Word EmbeddingsCode0
Machine learning in APOGEE: Identification of stellar populations through chemical abundances—0
Autoencoding with a Learning Classifier System: Initial Results—0
Interpretability Beyond Classification Output: Semantic Bottleneck Networks—0
Completing partial recipes using item-based collaborative filtering to recommend ingredientsCode0
Performance-Complexity Tradeoffs in Greedy Weak Submodular Maximization with Random Sampling—0
High Dimensional Bayesian Optimization via Supervised Dimension ReductionCode0
Word Sense Disambiguation using Diffusion Kernel PCA—0
Compressed Subspace Learning Based on Canonical Angle Preserving Property—0
Multiscale Principle of Relevant Information for Hyperspectral Image ClassificationCode0
Improving the Projection of Global Structures in Data through Spanning Trees—0
The Perfect Marriage and Much More: Combining Dimension Reduction, Distance Measures and Covariance—0
A Light weight and Hybrid Deep Learning Model based Online Signature Verification—0
GP-VAE: Deep Probabilistic Time Series ImputationCode0
Visualization of Emergency Department Clinical Data for Interpretable Patient PhenotypingCode0
Generalized Principal Component Analysis—0
Learning GPLVM with arbitrary kernels using the unscented transformationCode0
Spectral Overlap and a Comparison of Parameter-Free, Dimensionality Reduction Quality MetricsCode0
Obj-GloVe: Scene-Based Contextual Object Embedding—0
Size matters for OTC market makers: general results and dimensionality reduction techniques—0
Neural Dynamics Discovery via Gaussian Process Recurrent Neural NetworksCode0
A data-driven approach for multiscale elliptic PDEs with random coefficients based on intrinsic dimension reduction—0
Nature Inspired Dimensional Reduction Technique for Fast and Invariant Visual Feature Extraction—0
Understanding Memory Modules on Learning Simple Algorithms—0
An Improvement of PAA on Trend-Based Approximation for Time Series—0
Anomaly Subsequence Detection with Dynamic Local Density for Time Series—0
Tuning-Free Disentanglement via Projection—0
Learning Fair Representations for Kernel ModelsCode0
Transfer Learning for Segmenting Dimensionally-Reduced Hyperspectral Images—0
Fisher and Kernel Fisher Discriminant Analysis: TutorialCode0
Screening Sinkhorn Algorithm for Regularized Optimal TransportCode0
Bayesian inverse regression for dimension reduction with small datasets—0
An unsupervised approach to Geographical Knowledge Discovery using street level and street network images—0
Estimating a Manifold from a Tangent Bundle Learner—0
Agriculture Commodity Arrival Prediction using Remote Sensing Data: Insights and Beyond—0
Spaceland Embedding of Sparse Stochastic Graphs—0
A Computationally Efficient Method for Defending Adversarial Deep Learning Attacks—0
Classification of EEG Signals using Genetic Programming for Feature Construction—0
Sparse Representation of 3D Images for Piecewise Dimensionality Reduction with High Quality Reconstruction—0
Wavelet Based Dictionaries for Piecewise Dimensionality Reduction of ECG Signals—0
Integrative Factorization of Bidimensionally Linked MatricesCode0
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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