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 2476–2500 of 3304 papers

TitleStatusHype
Scalable Manifold Learning for Big Data with Apache SparkCode0
A DEEP ADVERSARIAL LEARNING METHODOLOGY FOR DESIGNING MICROSTRUCTURAL MATERIAL SYSTEMSCode0
Parameter-wise co-clustering for high-dimensional data—0
Vehicles Lane-changing Behavior Detection—0
XPCA: Extending PCA for a Combination of Discrete and Continuous Variables—0
Supervised Kernel PCA For Longitudinal Data—0
Fourier analysis perspective for sufficient dimension reduction problem—0
A Projector-Based Approach to Quantifying Total and Excess Uncertainties for Sketched Linear Regression—0
DNN Feature Map Compression using Learned Representation over GF(2)Code0
Efficient Outlier Removal in Large Scale Global Structure-from-MotionCode0
Low-complexity 8-point DCT Approximation Based on Angle Similarity for Image and Video Coding—0
Feature Dimensionality Reduction for Video Affect Classification: A Comparative Study—0
Efficient Principal Subspace Projection of Streaming Data Through Fast Similarity Matching—0
Too many secants: a hierarchical approach to secant-based dimensionality reduction on large data sets—0
Hybrid Subspace Learning for High-Dimensional Data—0
Model-Free Context-Aware Word Composition—0
Neural Activation Semantic Models: Computational lexical semantic models of localized neural activationsCode0
TRAPACC and TRAPACCS at PARSEME Shared Task 2018: Neural Transition Tagging of Verbal Multiword Expressions—0
t-SNE-CUDA: GPU-Accelerated t-SNE and its Applications to Modern DataCode0
Learning associations between clinical information and motion-based descriptors using a large scale MR-derived cardiac motion atlas—0
Dynamical Component Analysis (DyCA): Dimensionality Reduction For High-Dimensional Deterministic Time-Series—0
Premise selection with neural networks and distributed representation of featuresCode0
Learning low dimensional word based linear classifiers using Data Shared Adaptive Bootstrap Aggregated Lasso with application to IMDb data—0
Multi-view Reconstructive Preserving Embedding for Dimension Reduction—0
Prototype Discovery using Quality-Diversity—0
Show:102550
← PrevPage 100 of 133Next →
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