SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 13761400 of 3304 papers

TitleStatusHype
Fuzzy Pooling0
From Players to Champions: A Generalizable Machine Learning Approach for Match Outcome Prediction with Insights from the FIFA World Cup0
GAD: A Real-time Gait Anomaly Detection System with Online Adaptive Learning0
From Manifold to Manifold: Geometry-Aware Dimensionality Reduction for SPD Matrices0
Game Theory Meets Statistical Mechanics in Deep Learning Design0
Consistent Representation Learning for High Dimensional Data Analysis0
GANs and Closures: Micro-Macro Consistency in Multiscale Modeling0
Consistent Estimation of Low-Dimensional Latent Structure in High-Dimensional Data0
Gauge-optimal approximate learning for small data classification problems0
Gaussian Determinantal Processes: a new model for directionality in data0
Gaussian Image Anomaly Detection with Greedy Eigencomponent Selection0
Gaussian Mixture Models with Component Means Constrained in Pre-selected Subspaces0
Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity0
Agriculture Commodity Arrival Prediction using Remote Sensing Data: Insights and Beyond0
Cone-Constrained Principal Component Analysis0
Gaze-Sensing LEDs for Head Mounted Displays0
Frequency-dependent covariance reveals critical spatio-temporal patterns of synchronized activity in the human brain0
Gene Expression based Survival Prediction for Cancer Patients: A Topic Modeling Approach0
Bayesian Inference over the Stiefel Manifold via the Givens Representation0
Generalisation and Sharing in Triplet Convnets for Sketch based Visual Search0
Generalised Gaussian Process Latent Variable Models (GPLVM) with Stochastic Variational Inference0
Generalizable Spectral Embedding with an Application to UMAP0
Generalization Ability Analysis of Through-the-Wall Radar Human Activity Recognition0
Free Lunch for Gait Recognition: A Novel Relation Descriptor0
Conditional t-SNE: Complementary t-SNE embeddings through factoring out prior information0
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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