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 2626–2650 of 3304 papers

TitleStatusHype
Unsupervised Hashtag Retrieval and Visualization for Crisis Informatics—0
Computation of the Maximum Likelihood estimator in low-rank Factor Analysis—0
Semi-supervised Fisher vector network—0
A Hardware-Friendly Algorithm for Scalable Training and Deployment of Dimensionality Reduction Models on FPGA—0
Soft Locality Preserving Map (SLPM) for Facial Expression Recognition—0
Graph Autoencoder-Based Unsupervised Feature Selection with Broad and Local Data Structure Preservation—0
Learning automata based SVM for intrusion detection—0
Deep Temporal Clustering: Fully unsupervised learning of time-domain featuresCode0
Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly DetectionCode0
Kernel Regression with Sparse Metric Learning—0
Efficient Algorithms for t-distributed Stochastic Neighborhood EmbeddingCode0
A Mixture of Matrix Variate Bilinear Factor AnalyzersCode0
Evaluation of PPG Biometrics for Authentication in different states—0
Space-Filling Curve Indices as Acceleration Structure for Exemplar-Based Inpainting—0
Taming Wild High Dimensional Text Data with a Fuzzy Lash—0
Image Super-resolution via Feature-augmented Random ForestCode0
Multiple testing for outlier detection in functional data—0
Empirical Evaluation of Kernel PCA Approximation Methods in Classification Tasks—0
Effects of population- and seed bank noise on neutral evolution and efficacy of natural selection—0
Tensor Train Neighborhood Preserving Embedding—0
PFAx: Predictable Feature Analysis to Perform Control—0
From which world is your graph—0
Sparse Embedded k-Means Clustering—0
Sketching out the Details: Sketch-based Image Retrieval using Convolutional Neural Networks with Multi-stage RegressionCode0
Hierarchical Bayesian image analysis: from low-level modeling to robust supervised learning—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