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 3226–3250 of 3304 papers

TitleStatusHype
Image Classification by Feature Dimension Reduction and Graph based Ranking—0
Bayesian Compressed Regression—0
Understanding Boltzmann Machine and Deep Learning via A Confident Information First Principle—0
Adaptive Metric Dimensionality Reduction—0
A Practical Algorithm for Topic Modeling with Provable GuaranteesCode0
Group Component Analysis for Multiblock Data: Common and Individual Feature Extraction—0
Learning Mixtures of Arbitrary Distributions over Large Discrete Domains—0
Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning—0
A Geometric take on Metric Learning—0
Collaborative Gaussian Processes for Preference Learning—0
Gradient-based kernel method for feature extraction and variable selection—0
Feature-aware Label Space Dimension Reduction for Multi-label Classification—0
Super-Bit Locality-Sensitive Hashing—0
Random Projections for Linear Support Vector Machines—0
Accelerated Canonical Polyadic Decomposition by Using Mode Reduction—0
Measures of Entropy from Data Using Infinitely Divisible Kernels—0
Randomized Dimension Reduction on Massive Data—0
Application of Symmetric Uncertainty and Mutual Information to Dimensionality Reduction and Classification of Hyperspectral Images—0
Learning Locality-Constrained Collaborative Representation for Face Recognition—0
Dimensionality Reduction and Classification feature using Mutual Information applied to Hyperspectral Images : A Filter strategy based algorithm—0
Trace transform based method for color image domain identification—0
Asymptotic Generalization Bound of Fisher's Linear Discriminant Analysis—0
Kernel Principal Component Analysis and its Applications in Face Recognition and Active Shape ModelsCode0
A Class-Based Agreement Model for Generating Accurately Inflected Translations—0
Learning Semantics and Selectional Preference of Adjective-Noun Pairs—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