SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 29513000 of 3304 papers

TitleStatusHype
A New Spatio-Spectral Morphological Segmentation For Multi-Spectral Remote-Sensing Images0
Reducing training requirements through evolutionary based dimension reduction and subject transfer0
On the Nyström and Column-Sampling Methods for the Approximate Principal Components Analysis of Large Data Sets0
Principal Polynomial Analysis0
Dimensionality Reduction via Regression in Hyperspectral Imagery0
A Mathematical Formalization of Hierarchical Temporal Memory's Spatial PoolerCode0
Model-Coupled Autoencoder for Time Series Visualisation0
Group Invariant Deep Representations for Image Instance Retrieval0
Supervised Dimensionality Reduction via Distance Correlation Maximization0
Practical Algorithms for Learning Near-Isometric Linear Embeddings0
Multi Loci Phylogenetic Analysis with Gene Tree Clustering0
Outlier Detection In Large-scale Traffic Data By Naïve Bayes Method and Gaussian Mixture Model Method0
Multimodal, high-dimensional, model-based, Bayesian inverse problems with applications in biomechanics0
Sparse Generalized Principal Component Analysis for Large-scale Applications beyond Gaussianity0
Approximated and User Steerable tSNE for Progressive Visual Analytics0
Creation of a Deep Convolutional Auto-Encoder in Caffe0
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed SystemsCode0
Structured Feature Selection0
Alternating Co-Quantization for Cross-Modal Hashing0
Algorithmic Stability and Uniform Generalization0
Space-Time Local Embeddings0
A fast, universal algorithm to learn parametric nonlinear embeddings0
A New Approach for Scalable Analysis of Microbial Communities0
Implicit Sparse Code Hashing0
A Normative Theory of Adaptive Dimensionality Reduction in Neural Networks0
Universality laws for randomized dimension reduction, with applications0
Binding constants of membrane-anchored receptors and ligands: a general theory corroborated by Monte Carlo simulations0
ICU Patient Deterioration prediction: a Data-Mining Approach0
Adversarial AutoencodersCode1
Fast clustering for scalable statistical analysis on structured images0
Deep Linear Discriminant AnalysisCode0
Block-diagonal covariance selection for high-dimensional Gaussian graphical models0
PCA-Based Out-of-Sample Extension for Dimensionality Reduction0
Dimensionality Reduction for Binary Data through the Projection of Natural ParametersCode0
Clustering Noisy Signals with Structured Sparsity Using Time-Frequency RepresentationCode0
The intrinsic value of HFO features as a biomarker of epileptic activity0
Consistent Estimation of Low-Dimensional Latent Structure in High-Dimensional Data0
Fast and Large-scale Unsupervised Relation Extraction0
A Comprehensive Filter Feature Selection for Improving Document Classification0
Foundations of Coupled Nonlinear Dimensionality Reduction0
Compressive spectral embedding: sidestepping the SVDCode0
Word, graph and manifold embedding from Markov processes0
Ranking Entities in the Age of Two Webs, an Application to Semantic Snippets0
Towards Making High Dimensional Distance Metric Learning Practical0
Geometry and dimensionality reduction of feature spaces in primary visual cortex0
Markov Boundary Discovery with Ridge Regularized Linear Models0
Minimum Spectral Connectivity Projection PursuitCode0
Improving evaluation and optimization of MT systems against MEANT0
Topic Identification and Discovery on Text and Speech0
Factorization of Latent Variables in Distributional Semantic Models0
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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