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Dimensionality Reduction

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

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Papers

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Showing 2901–2950 of 3304 papers

TitleStatusHype
Random projections of random manifolds—0
Fitting a Simplicial Complex using a Variation of k-means—0
Incomplete Pivoted QR-based Dimensionality Reduction—0
Convergence rates of Kernel Conjugate Gradient for random design regression—0
Improving Sparse Representation-Based Classification Using Local Principal Component Analysis—0
Text comparison using word vector representations and dimensionality reduction—0
Out-of-Sample Extension for Dimensionality Reduction of Noisy Time Series—0
Manifold Approximation by Moving Least-Squares Projection (MMLS)—0
Continuum directions for supervised dimension reduction—0
An Efficient Large-scale Semi-supervised Multi-label Classifier Capable of Handling Missing labels—0
A New Approach to Dimensionality Reduction for Anomaly Detection in Data Traffic—0
Bayesian Inference on Matrix Manifolds for Linear Dimensionality Reduction—0
Unsupervised Non Linear Dimensionality Reduction Machine Learning methods applied to Multiparametric MRI in cerebral ischemia: Preliminary Results—0
Discovery of Latent Factors in High-dimensional Data Using Tensor Methods—0
Sifting Common Information from Many VariablesCode0
A Tale of Two Bases: Local-Nonlocal Regularization on Image Patches with Convolution Framelets—0
Property-driven State-Space Coarsening for Continuous Time Markov Chains—0
Sequential Principal Curves Analysis—0
Unifying Geometric Features and Facial Action Units for Improved Performance of Facial Expression Analysis—0
Trace Quotient Meets Sparsity: A Method for Learning Low Dimensional Image Representations—0
Efficient Large-Scale Similarity Search Using Matrix Factorization—0
Decoding Emotional Experience through Physiological Signal Processing—0
Mixtape Application: Music Map Methodology and Evaluation—0
Learning From Hidden Traits: Joint Factor Analysis and Latent Clustering—0
Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods—0
Subspace Perspective on Canonical Correlation Analysis: Dimension Reduction and Minimax Rates—0
Theano: A Python framework for fast computation of mathematical expressionsCode0
A Comparative Study of Text Preprocessing Approaches for Topic Detection of User Utterances—0
Sparse Generalized Eigenvalue Problem: Optimal Statistical Rates via Truncated Rayleigh Flow—0
Random Projection Estimation of Discrete-Choice Models with Large Choice Sets—0
Phone-based Metric as a Predictor for Basic Personality Traits—0
Feature extraction using Latent Dirichlet Allocation and Neural Networks: A case study on movie synopses—0
A Characterization of the Non-Uniqueness of Nonnegative Matrix Factorizations—0
Sparse Representation of Multivariate Extremes with Applications to Anomaly Ranking—0
Optimizing the Information Retrieval Trade-off in Data Visualization Using -Divergence—0
A generalized flow for multi-class and binary classification tasks: An Azure ML approach—0
An Empirical Study of Dimensional Reduction Techniques for Facial Action Units Detection—0
Joint Projection and Dictionary Learning using Low-rank Regularization and Graph Constraints—0
A Reconfigurable Low Power High Throughput Architecture for Deep Network Training—0
Variational Autoencoders for Feature Detection of Magnetic Resonance Imaging Data—0
Classification with Repulsion Tensors: A Case Study on Face Recognition—0
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed SystemsCode0
Laplacian Eigenmaps from Sparse, Noisy Similarity Measurements—0
An Innovative Imputation and Classification Approach for Accurate Disease Prediction—0
Faster learning of deep stacked autoencoders on multi-core systems using synchronized layer-wise pre-training—0
Learning a Discriminative Null Space for Person Re-identification—0
Whitening-Free Least-Squares Non-Gaussian Component AnalysisCode0
Machine learning meets network science: dimensionality reduction for fast and efficient embedding of networks in the hyperbolic space—0
Ordonnancement d'entités pour la rencontre du web des documents et du web des données—0
Joint Dimensionality Reduction for Two Feature Vectors—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