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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 1076–1100 of 3304 papers

TitleStatusHype
CA-PCA: Manifold Dimension Estimation, Adapted for Curvature—0
A New Approach for Scalable Analysis of Microbial Communities—0
A comparison of latent semantic analysis and correspondence analysis of document-term matrices—0
Capacity Analysis of Vector Symbolic Architectures—0
Can the Problem-Solving Benefits of Quality Diversity Be Obtained Without Explicit Diversity Maintenance?—0
A Faster Approach to Spiking Deep Convolutional Neural Networks—0
Enhanced CNN with Global Features for Fault Diagnosis of Complex Chemical Processes—0
Canonical Variates in Wasserstein Metric Space—0
Canonical Correlation Analysis of Datasets with a Common Source Graph—0
A Neural Operator-Based Emulator for Regional Shallow Water Dynamics—0
Can Genetic Programming Do Manifold Learning Too?—0
CAMEL: Curvature-Augmented Manifold Embedding and Learning—0
A Neural Network Transformer Model for Composite Microstructure Homogenization—0
AEkNN: An AutoEncoder kNN-based classifier with built-in dimensionality reduction—0
A dynamical systems based framework for dimension reduction—0
Efficient Sketching Algorithm for Sparse Binary Data—0
A Neural Network for Determination of Latent Dimensionality in Nonnegative Matrix Factorization—0
Emulators for stellar profiles in binary population modeling—0
Efficient Quantum Convolutional Neural Networks for Image Classification: Overcoming Hardware Constraints—0
Efficient Principal Subspace Projection of Streaming Data Through Fast Similarity Matching—0
BYTECOVER2: TOWARDS DIMENSIONALITY REDUCTION OF LATENT EMBEDDING FOR EFFICIENT COVER SONG IDENTIFICATION—0
Building Models for Biopathway Dynamics Using Intrinsic Dimensionality Analysis—0
Efficient Optimization for Discriminative Latent Class Models—0
An Entropy Based Outlier Score and its Application to Novelty Detection for Road Infrastructure Images—0
Emulating the dynamics of complex systems using autoregressive models on manifolds (mNARX)—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