SOTAVerified

Dimensionality Reduction

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

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Papers

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Showing 2651–2700 of 3304 papers

TitleStatusHype
An Automated Data Mining Framework Using Autoencoders for Feature Extraction and Dimensionality Reduction—0
An Efficient and Reliable Tolerance-Based Algorithm for Principal Component Analysis—0
An Efficient Feature Selection in Classification of Audio Files—0
An efficient label-free analyte detection algorithm for time-resolved spectroscopy—0
An Efficient Large-scale Semi-supervised Multi-label Classifier Capable of Handling Missing labels—0
Building an Efficient Intrusion Detection System Based on Feature Selection and Ensemble Classifier—0
An efficient real-time target tracking algorithm using adaptive feature fusion—0
An Empirical Study of Dimensional Reduction Techniques for Facial Action Units Detection—0
An Empirical Study on the Joint Impact of Feature Selection and Data Re-sampling on Imbalance Classification—0
An enhanced Teaching-Learning-Based Optimization (TLBO) with Grey Wolf Optimizer (GWO) for text feature selection and clustering—0
An Entropy Based Outlier Score and its Application to Novelty Detection for Road Infrastructure Images—0
A Neural Network for Determination of Latent Dimensionality in Nonnegative Matrix Factorization—0
A Neural Network Transformer Model for Composite Microstructure Homogenization—0
A Neural Operator-Based Emulator for Regional Shallow Water Dynamics—0
A New Approach for Scalable Analysis of Microbial Communities—0
A New Approach to Dimensionality Reduction for Anomaly Detection in Data Traffic—0
A new band selection approach based on information theory and support vector machine for hyperspectral images reduction and classification—0
A New Covariance Estimator for Sufficient Dimension Reduction in High-Dimensional and Undersized Sample Problems—0
A New Dimensionality Reduction Method Based on Hensel's Compression for Privacy Protection in Federated Learning—0
A new filter for dimensionality reduction and classification of hyperspectral images using GLCM features and mutual information—0
A new method color MS-BSIF Features learning for the robust kinship verification—0
A New Method for Performance Analysis in Nonlinear Dimensionality Reduction—0
A new parsimonious method for classifying Cancer Tissue-of-Origin Based on DNA Methylation 450K data—0
A new set of cluster driven composite development indicators—0
A New Spatio-Spectral Morphological Segmentation For Multi-Spectral Remote-Sensing Images—0
An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm—0
Angle constrained path to cluster multiple manifolds—0
Angular Embedding: A New Angular Robust Principal Component Analysis—0
An Image-Based Fluid Surface Pattern Model—0
An Impossibility Theorem for Node Embedding—0
An Improved Deep Learning Model for Word Embeddings Based Clustering for Large Text Datasets—0
An Improved CNN-based Neural Network Model for Fruit Sugar Level Detection—0
An Improvement of PAA on Trend-Based Approximation for Time Series—0
An Incremental Dimensionality Reduction Method for Visualizing Streaming Multidimensional Data—0
An Incremental Non-Linear Manifold Approximation Method—0
An information-geometric approach to feature extraction and moment reconstruction in dynamical systems—0
An Information Theoretic Feature Selection Framework for Big Data under Apache Spark—0
Non-linear Canonical Correlation Analysis: A Compressed Representation Approach—0
An Innovative Imputation and Classification Approach for Accurate Disease Prediction—0
An interpretable multiple kernel learning approach for the discovery of integrative cancer subtypes—0
An Introduction to Autoencoders—0
An Investigation of Newton-Sketch and Subsampled Newton Methods—0
An Item-Based Collaborative Filtering using Dimensionality Reduction Techniques on Mahout Framework—0
An iterative coordinate descent algorithm to compute sparse low-rank approximations—0
Anomaly Detection Framework Using Rule Extraction for Efficient Intrusion Detection—0
Anomaly Detection in Double-entry Bookkeeping Data by Federated Learning System with Non-model Sharing Approach—0
Anomaly Subsequence Detection with Dynamic Local Density for Time Series—0
A Nonlinear Dimensionality Reduction Framework Using Smooth Geodesics—0
A non-parametric conditional factor regression model for high-dimensional input and response—0
A Normalized Bottleneck Distance on Persistence Diagrams and Homology Preservation under Dimension Reduction—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