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 251–275 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
An Algorithmic Information Calculus for Causal Discovery and Reprogramming Systems—0
A clustering adaptive Gaussian process regression method: response patterns based real-time prediction for nonlinear solid mechanics problems—0
A novel extension of Generalized Low-Rank Approximation of Matrices based on multiple-pairs of transformations—0
A Novel Filter Approach for Band Selection and Classification of Hyperspectral Remotely Sensed Images Using Normalized Mutual Information and Support Vector Machines—0
Anti-drift in electronic nose via dimensionality reduction: a discriminative subspace projection approach—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
A Novel Deep Clustering Framework for Fine-Scale Parcellation of Amygdala Using dMRI Tractography—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
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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