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 1351–1400 of 3304 papers

TitleStatusHype
Contrasting Syntagmatic and Paradigmatic Relations: Insights from Distributional Semantic Models—0
Functional PCA and Deep Neural Networks-based Bayesian Inverse Uncertainty Quantification with Transient Experimental Data—0
Continuum directions for supervised dimension reduction—0
Application of Computer Vision Techniques for Segregation of PlasticWaste based on Resin Identification Code—0
Contextual Categorization Enhancement through LLMs Latent-Space—0
Fully invertible hyperbolic neural networks for segmenting large-scale surface and sub-surface data—0
Contextual Bidirectional Long Short-Term Memory Recurrent Neural Network Language Models: A Generative Approach to Sentiment Analysis—0
Full-dimensional characterisation of time-warped spike-time stimulus-response distribution geometries—0
Contextual Bandits with Sparse Data in Web setting—0
From which world is your graph—0
From which world is your graph?—0
Content-Aware Tweet Location Inference using Quadtree Spatial Partitioning and Jaccard-Cosine Word Embedding—0
Application of advanced machine learning algorithms for anomaly detection and quantitative prediction in protein A chromatography—0
Agtech Framework for Cranberry-Ripening Analysis Using Vision Foundation Models—0
Multivariate Analysis for Multiple Network Data via Semi-Symmetric Tensor PCA—0
Functional Inverse Regression in an Enlarged Dimension Reduction Space—0
From RGB to Spectrum for Natural Scenes via Manifold-Based Mapping—0
Functional sufficient dimension reduction through information maximization with application to classification—0
Construction of neural networks for realization of localized deep learning—0
Functorial Manifold Learning—0
From Pretext to Purpose: Batch-Adaptive Self-Supervised Learning—0
A Powerful Face Preprocessing For Robust Kinship Verification based Tensor Analyses—0
Fusing Vector Space Models for Domain-Specific Applications—0
Fusion of heterogeneous bands and kernels in hyperspectral image processing—0
Fusion of PCA and Segmented-PCA Domain Multiscale 2-D-SSA for Effective Spectral-Spatial Feature Extraction and Data Classification in Hyperspectral Imagery—0
Fuzzy Pooling—0
From Players to Champions: A Generalizable Machine Learning Approach for Match Outcome Prediction with Insights from the FIFA World Cup—0
GAD: A Real-time Gait Anomaly Detection System with Online Adaptive Learning—0
From Manifold to Manifold: Geometry-Aware Dimensionality Reduction for SPD Matrices—0
Game Theory Meets Statistical Mechanics in Deep Learning Design—0
Consistent Representation Learning for High Dimensional Data Analysis—0
GANs and Closures: Micro-Macro Consistency in Multiscale Modeling—0
Consistent Estimation of Low-Dimensional Latent Structure in High-Dimensional Data—0
Gauge-optimal approximate learning for small data classification problems—0
Gaussian Determinantal Processes: a new model for directionality in data—0
Gaussian Image Anomaly Detection with Greedy Eigencomponent Selection—0
Gaussian Mixture Models with Component Means Constrained in Pre-selected Subspaces—0
Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity—0
Agriculture Commodity Arrival Prediction using Remote Sensing Data: Insights and Beyond—0
Cone-Constrained Principal Component Analysis—0
Gaze-Sensing LEDs for Head Mounted Displays—0
Frequency-dependent covariance reveals critical spatio-temporal patterns of synchronized activity in the human brain—0
Gene Expression based Survival Prediction for Cancer Patients: A Topic Modeling Approach—0
Bayesian Inference over the Stiefel Manifold via the Givens Representation—0
Generalisation and Sharing in Triplet Convnets for Sketch based Visual Search—0
Generalised Gaussian Process Latent Variable Models (GPLVM) with Stochastic Variational Inference—0
Generalizable Spectral Embedding with an Application to UMAP—0
Generalization Ability Analysis of Through-the-Wall Radar Human Activity Recognition—0
Free Lunch for Gait Recognition: A Novel Relation Descriptor—0
Conditional t-SNE: Complementary t-SNE embeddings through factoring out prior information—0
Show:102550
← PrevPage 28 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