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 2876–2900 of 3304 papers

TitleStatusHype
Robust Discriminative Clustering with Sparse Regularizers—0
Large Scale Behavioral Analytics via Topical Interaction—0
Interacting with Massive Behavioral Data—0
Comparison among dimensionality reduction techniques based on Random Projection for cancer classification—0
Unsupervised Feature Selection Based on the Morisita Estimator of Intrinsic Dimension—0
Probabilistic Data Analysis with Probabilistic ProgrammingCode0
Training Echo State Networks with Regularization through Dimensionality Reduction—0
Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data—0
Bayesian Learning of Dynamic Multilayer Networks—0
Robust High-Dimensional Linear Regression—0
Exponential Family Embeddings—0
Domain Adaptation for Authorship Attribution: Improved Structural Correspondence Learning—0
TransG : A Generative Model for Knowledge Graph Embedding—0
Random Positive-Only Projections: PPMI-Enabled Incremental Semantic Space Construction—0
Robust Co-occurrence Quantification for Lexical Distributional Semantics—0
CNTK: Microsoft's Open-Source Deep-Learning ToolkitCode0
Pair Distance Distribution: A Model of Semantic Representation—0
Jointly Event Extraction and Visualization on Twitter via Probabilistic Modelling—0
Learning Word Meta-Embeddings—0
A Novel Bilingual Word Embedding Method for Lexical Translation Using Bilingual Sense Clique—0
Dimensionality reduction based on Distance Preservation to Local Mean (DPLM) for SPD matrices and its application in BCI—0
Genomic data analysis in tree spacesCode0
Extracting Geography from Trade Data—0
Spatial Context based Angular Information Preserving Projection for Hyperspectral Image Classification—0
Spectral Echolocation via the Wave Embedding—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