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 2051–2100 of 3304 papers

TitleStatusHype
Simultaneously Learning Neighborship and Projection Matrix for Supervised Dimensionality Reduction—0
Simultaneous Spectral-Spatial Feature Selection and Extraction for Hyperspectral Images—0
Single-Pass PCA of Large High-Dimensional Data—0
Single-Sequence-Based Protein Secondary Structure Prediction using One-Hot and Chemical Encodings of Amino Acids—0
S-Isomap++: Multi Manifold Learning from Streaming Data—0
Size matters for OTC market makers: general results and dimensionality reduction techniques—0
Sketched Subspace Clustering—0
Skip-Gram − Zipf + Uniform = Vector Additivity—0
SKYNET: an efficient and robust neural network training tool for machine learning in astronomy—0
Small-data Reduced Order Modeling of Chaotic Dynamics through SyCo-AE: Synthetically Constrained Autoencoders—0
SMAP: A Joint Dimensionality Reduction Scheme for Secure Multi-Party Visualization—0
Smart Analytical Signature Verification For DSP Applications—0
Smile and Laugh Expressions Detection Based on Local Minimum Key Points—0
Smoothing Nonlinear Variational Objectives with Sequential Monte Carlo—0
Soft Locality Preserving Map (SLPM) for Facial Expression Recognition—0
Solve sparse PCA problem by employing Hamiltonian system and leapfrog method—0
Solving Interpretable Kernel Dimensionality Reduction—0
Some Options for L1-Subspace Signal Processing—0
SpaceEditing: Integrating Human Knowledge into Deep Neural Networks via Interactive Latent Space Editing—0
Space-Filling Curve Indices as Acceleration Structure for Exemplar-Based Inpainting—0
Spaceland Embedding of Sparse Stochastic Graphs—0
SpaceMAP: Visualizing Any Data in 2-dimension by Space Expansion—0
Space-Time Extension of the MEM Approach for Electromagnetic Neuroimaging—0
Space-Time Local Embeddings—0
Sparse Centroid-Encoder: A Nonlinear Model for Feature Selection—0
Sparse Deep Nonnegative Matrix Factorization—0
Sparse Dimensionality Reduction Revisited—0
Sparse Embedded k-Means Clustering—0
Sparse Exact PGA on Riemannian Manifolds—0
Sparse Generalized Eigenvalue Problem: Optimal Statistical Rates via Truncated Rayleigh Flow—0
Sparse Generalized Principal Component Analysis for Large-scale Applications beyond Gaussianity—0
Sparse Manifold Clustering and Embedding—0
Sparse Matrix-based Random Projection for Classification—0
Sparse Metric Learning via Smooth Optimization—0
Sparse Modelling for Feature Learning in High Dimensional Data—0
Sparse Models for Machine Learning—0
Sparse Multivariate Factor Regression—0
Sparse PCA with False Discovery Rate Controlled Variable Selection—0
Sparse Reduced Rank Regression With Nonconvex Regularization—0
基於稀疏表示之語者識別 (Sparse Representation Based Speaker Identification) [In Chinese]—0
Sparse Representation of 3D Images for Piecewise Dimensionality Reduction with High Quality Reconstruction—0
Sparse Representation of Multivariate Extremes with Applications to Anomaly Ranking—0
Sparse Subspace Denoising for Image Manifolds—0
Sparse Variational Bayesian Approximations for Nonlinear Inverse Problems: applications in nonlinear elastography—0
Sparsifying dimensionality reduction of PDE solution data with Bregman learning—0
Sparsistent filtering of comovement networks from high-dimensional data—0
Sparsity in Multivariate Extremes with Applications to Anomaly Detection—0
Spatial Context based Angular Information Preserving Projection for Hyperspectral Image Classification—0
Spatial noise-aware temperature retrieval from infrared sounder data—0
Spatio-Temporal Crop Aggregation for Video Representation Learning—0
Show:102550
← PrevPage 42 of 67Next →
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