SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

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Showing 2721–2730 of 3304 papers

TitleStatusHype
How Close Are the Eigenvectors of the Sample and Actual Covariance Matrices?—0
Evaluating Feature Extraction Methods for Knowledge-based Biomedical Word Sense Disambiguation—0
Parameter Free Hierarchical Graph-Based Clustering for Analyzing Continuous Word Embeddings—0
Jmp8 at SemEval-2017 Task 2: A simple and general distributional approach to estimate word similarityCode0
Topology Analysis of International Networks Based on Debates in the United Nations—0
Sparse Deep Nonnegative Matrix Factorization—0
A Harmony Search Based Wrapper Feature Selection Method for Holistic Bangla word Recognition—0
Application of Dictionary Learning in Alleviating Computational Burden of EEG Source Localization—0
SAR Target Recognition Using the Multi-aspect-aware Bidirectional LSTM Recurrent Neural Networks—0
A Survey on Multi-Task LearningCode0
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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