SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 25512600 of 3304 papers

TitleStatusHype
Branching embedding: A heuristic dimensionality reduction algorithm based on hierarchical clusteringCode0
Efficient Design of Hardware-Enabled Reservoir Computing in FPGAs0
Compressed Dictionary Learning0
Bringing Order to Chaos: A Non-Sequential Approach for Browsing Large Sets of Found Audio Data0
Secure Face Matching Using Fully Homomorphic EncryptionCode0
Building Models for Biopathway Dynamics Using Intrinsic Dimensionality Analysis0
Auto-Detection of Safety Issues in Baby Products0
From Principal Subspaces to Principal Components with Linear AutoencodersCode0
Learning Manifolds from Non-stationary Streaming Data0
Randomized ICA and LDA Dimensionality Reduction Methods for Hyperspectral Image Classification0
varrank: an R package for variable ranking based on mutual information with applications to observed systemic datasets0
Mathematical Analysis on Out-of-Sample Extensions0
Deep Embedding Kernel0
Scalable and Interpretable One-class SVMs with Deep Learning and Random Fourier featuresCode0
Online Multi-Label Classification: A Label Compression Method0
Robust Subspace Clustering with Compressed Data0
Canonical Correlation Analysis of Datasets with a Common Source Graph0
Reservoir computing approaches for representation and classification of multivariate time seriesCode0
Sparse Reduced Rank Regression With Nonconvex Regularization0
Stock Price Prediction using Principle Components0
Low-Rank Boolean Matrix Approximation by Integer Programming0
Interpreting Deep Classifier by Visual Distillation of Dark Knowledge0
Construction of neural networks for realization of localized deep learning0
Concise Fuzzy Planar Embedding of Graphs: a Dimensionality Reduction Approach0
On Nonlinear Dimensionality Reduction, Linear Smoothing and Autoencoding0
Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization0
Deep Continuous ClusteringCode0
An Analysis of the t-SNE Algorithm for Data Visualization0
Understanding and Improving Multi-Sense Word Embeddings via Extended Robust Principal Component Analysis0
Autoencoding topology0
A more globally accurate dimensionality reduction method using tripletsCode0
Deep Learning for Causal Inference0
Static and Dynamic Robust PCA and Matrix Completion: A Review0
Latent-space Physics: Towards Learning the Temporal Evolution of Fluid FlowCode0
DID: Distributed Incremental Block Coordinate Descent for Nonnegative Matrix Factorization0
Improved Regularity Model-based EDA for Many-objective Optimization0
Diffusion Maps meet Nyström0
AEkNN: An AutoEncoder kNN-based classifier with built-in dimensionality reduction0
Harnessing Structures in Big Data via Guaranteed Low-Rank Matrix Estimation0
Angle constrained path to cluster multiple manifolds0
Learning Integral Representations of Gaussian ProcessesCode0
Entropy-Isomap: Manifold Learning for High-dimensional Dynamic Processes0
First-order bifurcation detection for dynamic complex networks0
Unsupervised vehicle recognition using incremental reseeding of acoustic signatures0
Out-of-sample extension of graph adjacency spectral embedding0
Fisherposes for Human Action Recognition Using Kinect Sensor DataCode0
Shamap: Shape-based Manifold Learning0
Natural data structure extracted from neighborhood-similarity graphs0
From Gameplay to Symbolic Reasoning: Learning SAT Solver Heuristics in the Style of Alpha(Go) ZeroCode0
A Diffusion Approximation Theory of Momentum SGD in Nonconvex Optimization0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy90.9Unverified
2tSNEClassification Accuracy51.5Unverified
3IVISClassification Accuracy46.6Unverified
4UMAPClassification Accuracy41.3Unverified
#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy71.1Unverified
2QSClassification Accuracy68Unverified