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 2601–2625 of 3304 papers

TitleStatusHype
Angle constrained path to cluster multiple manifolds—0
Learning Integral Representations of Gaussian ProcessesCode0
Entropy-Isomap: Manifold Learning for High-dimensional Dynamic Processes—0
Out-of-sample extension of graph adjacency spectral embedding—0
First-order bifurcation detection for dynamic complex networks—0
Unsupervised vehicle recognition using incremental reseeding of acoustic signatures—0
Shamap: Shape-based Manifold Learning—0
Natural data structure extracted from neighborhood-similarity graphs—0
Fisherposes for Human Action Recognition Using Kinect Sensor DataCode0
A Diffusion Approximation Theory of Momentum SGD in Nonconvex Optimization—0
From Gameplay to Symbolic Reasoning: Learning SAT Solver Heuristics in the Style of Alpha(Go) ZeroCode0
On the Needs for Rotations in Hypercubic Quantization Hashing—0
Convex Formulations for Fair Principal Component AnalysisCode0
Modeling Global Dynamics from Local Snapshots with Deep Generative Neural Networks—0
A Spatial Mapping Algorithm with Applications in Deep Learning-Based Structure Classification—0
Outlier Detection for Robust Multi-dimensional Scaling—0
Dimension Reduction Using Active Manifolds—0
Deep Temporal Clustering : Fully Unsupervised Learning of Time-Domain FeaturesCode0
Rigorous Restricted Isometry Property of Low-Dimensional Subspaces—0
Nonlinear Dimensionality Reduction on Graphs—0
Using Deep Autoencoders for Facial Expression Recognition—0
Generalized two-dimensional linear discriminant analysis with regularization—0
Efficient Text Classification Using Tree-structured Multi-linear Principal Component Analysis—0
Dimensionality Reduction in Deep Learning for Chest X-Ray Analysis of Lung Cancer—0
Robust Kronecker Component Analysis—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