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 3091–3100 of 3304 papers

TitleStatusHype
Detection and tracking of gas plumes in LWIR hyperspectral video sequence data—0
Detection of Alzheimer's Disease Using Graph-Regularized Convolutional Neural Network Based on Structural Similarity Learning of Brain Magnetic Resonance Images—0
Novel Epileptic Seizure Detection Techniques and their Empirical Analysis—0
Detection of Epileptic Seizures on EEG Signals Using ANFIS Classifier, Autoencoders and Fuzzy Entropies—0
DG-GL: Differential geometry based geometric learning of molecular datasets—0
Diagnosing ADHD from fMRI Scans Using Hidden Markov Models—0
Diagnosis of Patients with Viral, Bacterial, and Non-Pneumonia Based on Chest X-Ray Images Using Convolutional Neural Networks—0
Dictionary Learning under Symmetries via Group Representations—0
DID: Distributed Incremental Block Coordinate Descent for Nonnegative Matrix Factorization—0
DIDS: Domain Impact-aware Data Sampling for Large Language Model Training—0
Show:102550
← PrevPage 310 of 331Next →
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