SOTAVerified

Dimensionality Reduction

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

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Papers

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Showing 2551–2600 of 3304 papers

TitleStatusHype
A description length approach to determining the number of k-means clusters—0
A determinantal point process for column subset selection—0
A Dimensionality Reduction Approach for Convolutional Neural Networks—0
A Dimensionality Reduction Method for Finding Least Favorable Priors with a Focus on Bregman Divergence—0
A dimensionality reduction technique based on the Gromov-Wasserstein distance—0
A Discussion On the Validity of Manifold Learning—0
A DNA Methylation Classification Model Predicts Organ and Disease Site—0
ADRS-CNet: An adaptive dimensionality reduction selection and classification network for DNA storage clustering algorithms—0
Advanced User Credit Risk Prediction Model using LightGBM, XGBoost and Tabnet with SMOTEENN—0
Adversarial dictionary learning for a robust analysis and modelling of spontaneous neuronal activity—0
Adversarial Vulnerability as a Consequence of On-Manifold Inseparibility—0
A dynamical systems based framework for dimension reduction—0
AEkNN: An AutoEncoder kNN-based classifier with built-in dimensionality reduction—0
A Faster Approach to Spiking Deep Convolutional Neural Networks—0
A Second-Order Majorant Algorithm for Nonnegative Matrix Factorization—0
A fast, universal algorithm to learn parametric nonlinear embeddings—0
A feature construction framework based on outlier detection and discriminative pattern mining—0
A Flexible Iterative Framework for Consensus Clustering—0
A framework for streamlined statistical prediction using topic models—0
A Fully Convolutional Network for MR Fingerprinting—0
A Functional approach for Two Way Dimension Reduction in Time Series—0
A Fuzzy Approach for Feature Evaluation and Dimensionality Reduction to Improve the Quality of Web Usage Mining Results—0
A generalized flow for multi-class and binary classification tasks: An Azure ML approach—0
A Generalized Mean Approach for Distributed-PCA—0
A Generative-Discriminative Basis Learning Framework to Predict Clinical Severity from Resting State Functional MRI Data—0
A Generative Model of Textures Using Hierarchical Probabilistic Principal Component Analysis—0
A Generic Self-Supervised Framework of Learning Invariant Discriminative Features—0
A Geometric take on Metric Learning—0
AgFlow: Fast Model Selection of Penalized PCA via Implicit Regularization Effects of Gradient Flow—0
Aggregated Deep Local Features for Remote Sensing Image Retrieval—0
Agile gesture recognition for capacitive sensing devices: adapting on-the-job—0
Agnostically Learning Multi-index Models with Queries—0
A GPU-Oriented Algorithm Design for Secant-Based Dimensionality Reduction—0
A Graph Based Raman Spectral Processing Technique for Exosome Classification—0
A Graphical Approach to State Variable Selection in Off-policy Learning—0
Agriculture Commodity Arrival Prediction using Remote Sensing Data: Insights and Beyond—0
Agtech Framework for Cranberry-Ripening Analysis Using Vision Foundation Models—0
A Hardware-Friendly Algorithm for Scalable Training and Deployment of Dimensionality Reduction Models on FPGA—0
A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification—0
A Harmony Search Based Wrapper Feature Selection Method for Holistic Bangla word Recognition—0
A Heath-Jarrow-Morton framework for energy markets: a pragmatic approach—0
A hierarchical approach with feature selection for emotion recognition from speech—0
A Hybrid Approach for Binary Classification of Imbalanced Data—0
A Hybrid Data-Driven Approach For Analyzing And Predicting Inpatient Length Of Stay In Health Centre—0
A Hybrid Deep Learning CNN Model for Enhanced COVID-19 Detection from Computed Tomography (CT) Scan Images—0
A Hybrid Learning Approach to Detecting Regime Switches in Financial Markets—0
A Hybrid Quantum Classical Pipeline for X Ray Based Fracture Diagnosis—0
A Hyperdimensional One Place Signature to Represent Them All: Stackable Descriptors For Visual Place Recognition—0
AI-Driven HSI: Multimodality, Fusion, Challenges, and the Deep Learning Revolution—0
A Kernelization-Based Approach to Nonparametric Binary Choice Models—0
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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