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 3026–3050 of 3304 papers

TitleStatusHype
Notes on Low-rank Matrix Factorization—0
Detecting single-trial EEG evoked potential using a wavelet domain linear mixed model: application to error potentials classification—0
Diagnosing ADHD from fMRI Scans Using Hidden Markov Models—0
Random Maxout Features—0
Spectral Representations for Convolutional Neural Networks—0
Isometric sketching of any set via the Restricted Isometry Property—0
Heteroscedastic Max-Min Distance Analysis—0
Vector Space Models for Scientific Document Summarization—0
USAAR-SHEFFIELD: Semantic Textual Similarity with Deep Regression and Machine Translation Evaluation Metrics—0
Projection Metric Learning on Grassmann Manifold With Application to Video Based Face Recognition—0
Non-Orthogonal Explicit Semantic Analysis—0
PRHLT: Combination of Deep Autoencoders with Classification and Regression Techniques for SemEval-2015 Task 11—0
Sufficient Forecasting Using Factor Models—0
Sequential Dimensionality Reduction for Extracting Localized Features—0
Using Dimension Reduction to Improve the Classification of High-dimensional Data—0
oASIS: Adaptive Column Sampling for Kernel Matrix Approximation—0
Bayesian Sparse Tucker Models for Dimension Reduction and Tensor CompletionCode0
Spike and Slab Gaussian Process Latent Variable Models—0
Trees Assembling Mann Whitney Approach for Detecting Genome-wide Joint Association among Low Marginal Effect loci—0
Self-Expressive Decompositions for Matrix Approximation and Clustering—0
Using PCA to Efficiently Represent State Spaces—0
High-Order Low-Rank Tensors for Semantic Role Labeling—0
NASARI: a Novel Approach to a Semantically-Aware Representation of Items—0
Robust Principal Component Analysis on Graphs—0
Effective Discriminative Feature Selection with Non-trivial Solutions—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