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 2951–2975 of 3304 papers

TitleStatusHype
Capturing the Denoising Effect of PCA via Compression Ratio—0
Compression-aware Projection with Greedy Dimension Reduction for Convolutional Neural Network Activations—0
Compression supports low-dimensional representations of behavior across neural circuits—0
Compressive Feature Learning—0
Compressive Sensing Approaches for Sparse Distribution Estimation Under Local Privacy—0
Computational Graph Completion—0
Computational Techniques in Multispectral Image Processing: Application to the Syriac Galen Palimpsest—0
Computation of the Maximum Likelihood estimator in low-rank Factor Analysis—0
Computer-Aided Automated Detection of Gene-Controlled Social Actions of Drosophila—0
Computer Vision and Metrics Learning for Hypothesis Testing: An Application of Q-Q Plot for Normality Test—0
Computing Approximate _p Sensitivities—0
Computing Gram Matrix for SMILES Strings using RDKFingerprint and Sinkhorn-Knopp Algorithm—0
Concept Drift Detection in Federated Networked Systems—0
Concept Identification of Directly and Indirectly Related Mentions Referring to Groups of Persons—0
Concise Fuzzy Planar Embedding of Graphs: a Dimensionality Reduction Approach—0
Conditional Density Estimation with Dimensionality Reduction via Squared-Loss Conditional Entropy Minimization—0
Conditional t-SNE: Complementary t-SNE embeddings through factoring out prior information—0
Cone-Constrained Principal Component Analysis—0
Consistent Estimation of Low-Dimensional Latent Structure in High-Dimensional Data—0
Consistent Representation Learning for High Dimensional Data Analysis—0
Construction of neural networks for realization of localized deep learning—0
Content-Aware Tweet Location Inference using Quadtree Spatial Partitioning and Jaccard-Cosine Word Embedding—0
Contextual Bandits with Sparse Data in Web setting—0
Contextual Bidirectional Long Short-Term Memory Recurrent Neural Network Language Models: A Generative Approach to Sentiment Analysis—0
Contextual Categorization Enhancement through LLMs Latent-Space—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