SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2676–2700 of 3304 papers

TitleStatusHype
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
Show:102550
← PrevPage 108 of 133Next →
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