SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

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Showing 1601–1650 of 3304 papers

TitleStatusHype
First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces—0
Improved Dimensionality Reduction for Inverse Problems in Nuclear Fusion and High-Energy Astrophysics—0
Firm Heterogeneity and Macroeconomic Fluctuations: a Functional VAR model—0
Computer Vision and Metrics Learning for Hypothesis Testing: An Application of Q-Q Plot for Normality Test—0
A novel information gain-based approach for classification and dimensionality reduction of hyperspectral images—0
Improving Channel Charting using a Split Triplet Loss and an Inertial Regularizer—0
Firing Rate Dynamics in Recurrent Spiking Neural Networks with Intrinsic and Network Heterogeneity—0
Improving evaluation and optimization of MT systems against MEANT—0
Finding Significant Features for Few-Shot Learning using Dimensionality Reduction—0
Finding Rule-Interpretable Non-Negative Data Representation—0
Computer-Aided Automated Detection of Gene-Controlled Social Actions of Drosophila—0
A novel filter based on three variables mutual information for dimensionality reduction and classification of hyperspectral images—0
A GPU-Oriented Algorithm Design for Secant-Based Dimensionality Reduction—0
Improving Problem Identification via Automated Log Clustering using Dimensionality Reduction—0
Improving Sparse Representation-Based Classification Using Local Principal Component Analysis—0
Finding Real-World Orbital Motion Laws from Data—0
Improving the generalization of network based relative pose regression: dimension reduction as a regularizer—0
Finding Pegasus: Enhancing Unsupervised Anomaly Detection in High-Dimensional Data using a Manifold-Based Approach—0
Improving the Projection of Global Structures in Data through Spanning Trees—0
Improving Triplet-Based Channel Charting on Distributed Massive MIMO Measurements—0
Imputation of Time-varying Edge Flows in Graphs by Multilinear Kernel Regression and Manifold Learning—0
IMU-based Modularized Wearable Device for Human Motion Classification—0
Computation of the Maximum Likelihood estimator in low-rank Factor Analysis—0
Inceptive Event Time-Surfaces for Object Classification Using Neuromorphic Cameras—0
Incomplete Pivoted QR-based Dimensionality Reduction—0
Computational Techniques in Multispectral Image Processing: Application to the Syriac Galen Palimpsest—0
A Novel Filter Approach for Band Selection and Classification of Hyperspectral Remotely Sensed Images Using Normalized Mutual Information and Support Vector Machines—0
Computational Graph Completion—0
FFTLasso: Large-Scale LASSO in the Fourier Domain—0
Individualized Multilayer Tensor Learning with An Application in Imaging Analysis—0
A novel extension of Generalized Low-Rank Approximation of Matrices based on multiple-pairs of transformations—0
Inference and Interference: The Role of Clipping, Pruning and Loss Landscapes in Differentially Private Stochastic Gradient Descent—0
Agnostically Learning Multi-index Models with Queries—0
A Convex Sparse PCA for Feature Analysis—0
Influ\^encia de T\'ecnicas N\~ao-supervisionadas de Redu \~ao de Dimensionalidade para Organiza \~ao Flex\' de Documentos (The Unsupervised Dimensionality Reduction Weight on Flexible Document Organization)[In Portuguese]—0
InfoClus: Informative Clustering of High-dimensional Data Embeddings—0
Information loss from dimensionality reduction in 5D-Gaussian spectral data—0
Information Processing by Neuron Populations in the Central Nervous System: Mathematical Structure of Data and Operations—0
Information retrieval in single cell chromatin analysis using TF-IDF transformation methods—0
Information-Theoretic Bounds and Approximations in Neural Population Coding—0
A canonical correlation-based framework for performance analysis of radio access networks—0
Information-Theoretic Representation Learning for Positive-Unlabeled Classification—0
FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction—0
Infrastructure-Assisted Collaborative Perception in Automated Valet Parking: A Safety Perspective—0
Federated Sufficient Dimension Reduction Through High-Dimensional Sparse Sliced Inverse Regression—0
Input Guided Multiple Deconstruction Single Reconstruction neural network models for Matrix Factorization—0
Compressive Sensing Approaches for Sparse Distribution Estimation Under Local Privacy—0
Federated Multilinear Principal Component Analysis with Applications in Prognostics—0
An Empirical Study on Fault Detection and Root Cause Analysis of Indium Tin Oxide Electrodes by Processing S-parameter Patterns—0
Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations—0
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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