SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 28112820 of 3304 papers

TitleStatusHype
Computational Techniques in Multispectral Image Processing: Application to the Syriac Galen Palimpsest0
Representation of big data by dimension reduction0
Faster Discovery of Faster System Configurations with Spectral Learning0
Stable Recovery Of Sparse Vectors From Random Sinusoidal Feature Maps0
A Deep Convolutional Auto-Encoder with Pooling - Unpooling Layers in Caffe0
Self-Taught Convolutional Neural Networks for Short Text ClusteringCode0
Data-Driven Forecast of Dengue Outbreaks in Brazil: A Critical Assessment of Climate Conditions for Different Capitals0
Microstructure Representation and Reconstruction of Heterogeneous Materials via Deep Belief Network for Computational Material DesignCode0
Stochastic Multidimensional Scaling0
Fractal Descriptors of Texture Images Based on the Triangular Prism Dimension0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy90.9Unverified
2tSNEClassification Accuracy51.5Unverified
3IVISClassification Accuracy46.6Unverified
4UMAPClassification Accuracy41.3Unverified
#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy71.1Unverified
2QSClassification Accuracy68Unverified