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 2601–2625 of 3304 papers

TitleStatusHype
A kernel Principal Component Analysis (kPCA) digest with a new backward mapping (pre-image reconstruction) strategy—0
A Knowledge-based Representation for Cross-Language Document Retrieval and Categorization—0
A Large Scale Evaluation of Distributional Semantic Models: Parameters, Interactions and Model Selection—0
A Latent Variable Model for Two-Dimensional Canonical Correlation Analysis and its Variational Inference—0
Algorithm-Agnostic Interpretations for Clustering—0
Algorithmic Stability and Uniform Generalization—0
Algorithms for Approximate Subtropical Matrix Factorization—0
A Light weight and Hybrid Deep Learning Model based Online Signature Verification—0
A Lightweight ReLU-Based Feature Fusion for Aerial Scene Classification—0
A Local Similarity-Preserving Framework for Nonlinear Dimensionality Reduction with Neural Networks—0
A Low Effort Approach to Structured CNN Design Using PCA—0
Alternating Co-Quantization for Cross-Modal Hashing—0
Alternating Diffusion Map Based Fusion of Multimodal Brain Connectivity Networks for IQ Prediction—0
Alternative Channel Charting Techniques in Cellular Wireless Communications—0
A Machine-Learning-Aided Visual Analysis Workflow for Investigating Air Pollution Data—0
A Masked Pruning Approach for Dimensionality Reduction in Communication-Efficient Federated Learning Systems—0
A mechanism-driven reinforcement learning framework for shape optimization of airfoils—0
A Meta-learning Formulation of the Autoencoder Problem for Non-linear Dimensionality Reduction—0
A Method for Classifying Snow Using Ski-Mounted Strain Sensors—0
Explanation and Use of Uncertainty Quantified by Bayesian Neural Network Classifiers for Breast Histopathology Images—0
Grading and Anomaly Detection for Automated Retinal Image Analysis using Deep Learning—0
A Multi-Fidelity Methodology for Reduced Order Models with High-Dimensional Inputs—0
A Multimodal Data-driven Framework for Anxiety Screening—0
A Multimodal Deep Learning Approach for White Matter Shape Prediction in Diffusion MRI Tractography—0
A Multimodal Intermediate Fusion Network with Manifold Learning for Stress Detection—0
Show:102550
← PrevPage 105 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