SOTAVerified

Dimensionality Reduction

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

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Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1676–1700 of 3304 papers

TitleStatusHype
Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs—0
EigenGS Representation: From Eigenspace to Gaussian Image Space—0
ELA: Efficient Local Attention for Deep Convolutional Neural Networks—0
Elastic deep autoencoder for text embedding clustering by an improved graph regularization—0
Electrical Grid Anomaly Detection via Tensor Decomposition—0
Elementos da teoria de aprendizagem de máquina supervisionada—0
ELKI: A large open-source library for data analysis - ELKI Release 0.7.5 "Heidelberg"—0
Elliptical modeling and pattern analysis for perturbation models and classfication—0
Embedding-Assisted Attentional Deep Learning for Real-World RF Fingerprinting of Bluetooth—0
Embedding Compression for Efficient Re-Identification—0
Embedding Feature Selection for Large-scale Hierarchical Classification—0
Embedding Functional Data: Multidimensional Scaling and Manifold Learning—0
Embedding Hard Physical Constraints in Convolutional Neural Networks for 3D Turbulence—0
EMC2A-Net: An Efficient Multibranch Cross-channel Attention Network for SAR Target Classification—0
Emotional Dimension Control in Language Model-Based Text-to-Speech: Spanning a Broad Spectrum of Human Emotions—0
Empirical Analysis of Anomaly Detection on Hyperspectral Imaging Using Dimension Reduction Methods—0
Empirical comparison between autoencoders and traditional dimensionality reduction methods—0
Empirical Evaluation of Kernel PCA Approximation Methods in Classification Tasks—0
Empowering Digital Agriculture: A Privacy-Preserving Framework for Data Sharing and Collaborative Research—0
Empowering individual trait prediction using interactions—0
Emulating the dynamics of complex systems using autoregressive models on manifolds (mNARX)—0
Emulators for stellar profiles in binary population modeling—0
End-to-end translation of human neural activity to speech with a dual-dual generative adversarial network—0
Precoder Design for Correlated Data Aggregation via Over-the-Air Computation in Sensor Networks—0
Enhanced CNN with Global Features for Fault Diagnosis of Complex Chemical Processes—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