SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

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Showing 2626–2650 of 3304 papers

TitleStatusHype
Efficient Algorithms for t-distributed Stochastic Neighborhood EmbeddingCode0
Evaluation of PPG Biometrics for Authentication in different states—0
A Mixture of Matrix Variate Bilinear Factor AnalyzersCode0
Space-Filling Curve Indices as Acceleration Structure for Exemplar-Based Inpainting—0
Taming Wild High Dimensional Text Data with a Fuzzy Lash—0
Image Super-resolution via Feature-augmented Random ForestCode0
Multiple testing for outlier detection in functional data—0
Empirical Evaluation of Kernel PCA Approximation Methods in Classification Tasks—0
Effects of population- and seed bank noise on neutral evolution and efficacy of natural selection—0
Tensor Train Neighborhood Preserving Embedding—0
PFAx: Predictable Feature Analysis to Perform Control—0
Sketching out the Details: Sketch-based Image Retrieval using Convolutional Neural Networks with Multi-stage RegressionCode0
Sparse Embedded k-Means Clustering—0
From which world is your graph—0
Simple strategies for recovering inner products from coarsely quantized random projections—0
Hierarchical Bayesian image analysis: from low-level modeling to robust supervised learning—0
Extreme Dimension Reduction for Handling Covariate Shift—0
Wisdom of the crowd from unsupervised dimension reduction—0
Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery—0
Random matrix approach to estimation of high-dimensional factor models—0
Practical Hash Functions for Similarity Estimation and Dimensionality ReductionCode0
Universality of macroscopic neuronal dynamics in Caenorhabditis elegans—0
Positive semi-definite embedding for dimensionality reduction and out-of-sample extensionsCode0
"I know it when I see it". Visualization and Intuitive Interpretability—0
Deep Gaussian Mixture Models—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