SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

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Showing 1601–1610 of 3304 papers

TitleStatusHype
Class-Wise Principal Component Analysis for hyperspectral image feature extraction—0
Predicting Inflation with Recurrent Neural Networks—0
Deep Features for training Support Vector Machine—0
Adapting Speaker Embeddings for Speaker Diarisation—0
VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word RepresentationsCode1
ProsoBeast Prosody Annotation ToolCode1
Dopamine Transporter SPECT Image Classification for Neurodegenerative Parkinsonism via Diffusion Maps and Machine Learning Classifiers—0
Generative Locally Linear EmbeddingCode1
Mitigating Gradient-based Adversarial Attacks via Denoising and Compression—0
Deep Learning of Conjugate MappingsCode0
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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