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 251–300 of 3304 papers

TitleStatusHype
Analyzing movies to predict their commercial viability for producers—0
A Discussion On the Validity of Manifold Learning—0
Exact Cluster Recovery via Classical Multidimensional Scaling—0
An Analysis of the t-SNE Algorithm for Data Visualization—0
A clustering adaptive Gaussian process regression method: response patterns based real-time prediction for nonlinear solid mechanics problems—0
Approximate Grassmannian Intersections: Subspace-Valued Subspace Learning—0
Approximate Matrix Multiplication with Application to Linear Embeddings—0
An Algorithm and Heuristic based on Normalized Mutual Information for Dimensionality Reduction and Classification of Hyperspectral images—0
A-DenseUNet: Adaptive Densely Connected UNet for Polyp Segmentation in Colonoscopy Images with Atrous Convolution—0
A cluster driven log-volatility factor model: a deepening on the source of the volatility clustering—0
An Adaptive Dimension Reduction Estimation Method for High-dimensional Bayesian Optimization—0
A Deep Signed Directional Distance Function for Object Shape Representation—0
Automated Classification of Dry Bean Varieties Using XGBoost and SVM Models—0
ELBD: Efficient score algorithm for feature selection on latent variables of VAE—0
An adaptive block based integrated LDP,GLCM,and Morphological features for Face Recognition—0
A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation—0
An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification—0
A Music Classification Model based on Metric Learning and Feature Extraction from MP3 Audio Files—0
A deep-learning based native-language classification by using a latent semantic analysis for the NLI Shared Task 2017—0
3D Shape Registration Using Spectral Graph Embedding and Probabilistic Matching—0
Approaching Metaheuristic Deep Learning Combos for Automated Data Mining—0
A Multi-view Dimensionality Reduction Algorithm Based on Smooth Representation Model—0
A Deep Learning Approach with an Attention Mechanism for Automatic Sleep Stage Classification—0
A Class-Based Agreement Model for Generating Accurately Inflected Translations—0
A Multimodal Intermediate Fusion Network with Manifold Learning for Stress Detection—0
A Multimodal Deep Learning Approach for White Matter Shape Prediction in Diffusion MRI Tractography—0
A Deep Learning approach for parametrized and time dependent Partial Differential Equations using Dimensionality Reduction and Neural ODEs—0
Applying Ricci Flow to High Dimensional Manifold Learning—0
A Multimodal Data-driven Framework for Anxiety Screening—0
A Multi-Fidelity Methodology for Reduced Order Models with High-Dimensional Inputs—0
A Deep Graph Embedding Network Model for Face Recognition—0
Grading and Anomaly Detection for Automated Retinal Image Analysis using Deep Learning—0
A Deep Embedded Refined Clustering Approach for Breast Cancer Distinction based on DNA Methylation—0
Achieving Fair PCA Using Joint Eigenvalue Decomposition—0
3-Dimensional residual neural architecture search for ultrasonic defect detection—0
Applying Supervised Learning Algorithms and a New Feature Selection Method to Predict Coronary Artery Disease—0
Approximated and User Steerable tSNE for Progressive Visual Analytics—0
Explanation and Use of Uncertainty Quantified by Bayesian Neural Network Classifiers for Breast Histopathology Images—0
A Deep Convolutional Auto-Encoder with Pooling - Unpooling Layers in Caffe—0
Applications of machine learning to predict seasonal precipitation for East Africa—0
3D Face Recognition with Sparse Spherical Representations—0
A Characterization of the Non-Uniqueness of Nonnegative Matrix Factorizations—0
Compressive Mahalanobis Metric Learning Adapts to Intrinsic Dimension—0
Applications of Nature-Inspired Algorithms for Dimension Reduction: Enabling Efficient Data Analytics—0
A Method for Classifying Snow Using Ski-Mounted Strain Sensors—0
A Meta-learning Formulation of the Autoencoder Problem for Non-linear Dimensionality Reduction—0
Additive Component Analysis—0
A mechanism-driven reinforcement learning framework for shape optimization of airfoils—0
A Dataset Similarity Evaluation Framework for Wireless Communications and Sensing—0
Accuracy and Privacy Evaluations of Collaborative Data Analysis—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