SOTAVerified

Dimensionality Reduction

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

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Papers

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Showing 2951–2975 of 3304 papers

TitleStatusHype
Local High-order Regularization on Data Manifolds—0
Semi-supervised Learning with Explicit Relationship Regularization—0
Comparison of feature extraction and dimensionality reduction methods for single channel extracellular spike sorting—0
A New Spatio-Spectral Morphological Segmentation For Multi-Spectral Remote-Sensing Images—0
Reducing training requirements through evolutionary based dimension reduction and subject transfer—0
On the Nyström and Column-Sampling Methods for the Approximate Principal Components Analysis of Large Data Sets—0
Dimensionality Reduction via Regression in Hyperspectral Imagery—0
Principal Polynomial Analysis—0
A Mathematical Formalization of Hierarchical Temporal Memory's Spatial PoolerCode0
Model-Coupled Autoencoder for Time Series Visualisation—0
Group Invariant Deep Representations for Image Instance Retrieval—0
Supervised Dimensionality Reduction via Distance Correlation Maximization—0
Practical Algorithms for Learning Near-Isometric Linear Embeddings—0
Multi Loci Phylogenetic Analysis with Gene Tree Clustering—0
Outlier Detection In Large-scale Traffic Data By Naïve Bayes Method and Gaussian Mixture Model Method—0
Multimodal, high-dimensional, model-based, Bayesian inverse problems with applications in biomechanics—0
Sparse Generalized Principal Component Analysis for Large-scale Applications beyond Gaussianity—0
Approximated and User Steerable tSNE for Progressive Visual Analytics—0
Creation of a Deep Convolutional Auto-Encoder in Caffe—0
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed SystemsCode0
A New Approach for Scalable Analysis of Microbial Communities—0
Structured Feature Selection—0
Implicit Sparse Code Hashing—0
Space-Time Local Embeddings—0
Algorithmic Stability and Uniform Generalization—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