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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 3201–3250 of 3304 papers

TitleStatusHype
Discriminative Dimension Reduction based on Mutual Information—0
Disease-oriented image embedding with pseudo-scanner standardization for content-based image retrieval on 3D brain MRI—0
Diseño de un espacio semántico sobre la base de la Wikipedia. Una propuesta de análisis de la semántica latente para el idioma español—0
Advancing the dimensionality reduction of speaker embeddings for speaker diarisation: disentangling noise and informing speech activity—0
Disentangled Latent Spaces for Reduced Order Models using Deterministic Autoencoders—0
Disentangling Generative Factors of Physical Fields Using Variational Autoencoders—0
Disentangling stellar atmospheric parameters in astronomical spectra using Generative Adversarial Neural Networks—0
Disentangling Topic Models: A Cross-cultural Analysis of Personal Values through Words—0
Displacement-Sparse Neural Optimal Transport—0
Distance metric learning based on structural neighborhoods for dimensionality reduction and classification performance improvement—0
Distance Preserving Machine Learning for Uncertainty Aware Accelerator Capacitance Predictions—0
Distinguishing between Normal and Cancer Cells Using Autoencoder Node Saliency—0
Distributed estimation of principal support vector machines for sufficient dimension reduction—0
Distributed Event-Triggered Nonlinear Fusion Estimation under Resource Constraints—0
Distributed Low-Rank Estimation Based on Joint Iterative Optimization in Wireless Sensor Networks—0
Distributed Principal Subspace Analysis for Partitioned Big Data: Algorithms, Analysis, and Implementation—0
Distributionally Robust and Multi-Objective Nonnegative Matrix Factorization—0
Distributionally Robust Fair Principal Components via Geodesic Descents—0
Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein—0
Distributional Reference Class Forecasting of Corporate Sales Growth With Multiple Reference Variables—0
Distributional Semantics in R with the wordspace Package—0
Distribution-based Label Space Transformation for Multi-label Learning—0
Diverse Landmark Sampling from Determinantal Point Processes for Scalable Manifold Learning—0
DNA Methylation Data to Predict Suicidal and Non-Suicidal Deaths: A Machine Learning Approach—0
Supporting Safety Analysis of Image-processing DNNs through Clustering-based Approaches—0
Does a Hybrid Neural Network based Feature Selection Model Improve Text Classification?—0
Domain Adaptation for Authorship Attribution: Improved Structural Correspondence Learning—0
Domain-Dependent Speaker Diarization for the Third DIHARD Challenge—0
Domain Generalization via Domain-based Covariance Minimization—0
Don't count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors—0
Dopamine Transporter SPECT Image Classification for Neurodegenerative Parkinsonism via Diffusion Maps and Machine Learning Classifiers—0
Doubly Non-Central Beta Matrix Factorization for Stable Dimensionality Reduction of Bounded Support Matrix Data—0
Down-Sampling coupled to Elastic Kernel Machines for Efficient Recognition of Isolated Gestures—0
DPCA: Dimensionality Reduction for Discriminative Analytics of Multiple Large-Scale Datasets—0
DPDR: A novel machine learning method for the Decision Process for Dimensionality Reduction—0
Drone Flocking Optimization using NSGA-II and Principal Component Analysis—0
Dual-band feature selection for maturity classification of specialty crops by hyperspectral imaging—0
DumbleDR: Predicting User Preferences of Dimensionality Reduction Projection Quality—0
Dynamical Component Analysis (DyCA): Dimensionality Reduction For High-Dimensional Deterministic Time-Series—0
Dynamical Mode Recognition of Coupled Flame Oscillators by Supervised and Unsupervised Learning Approaches—0
Dynamical Mode Recognition of Turbulent Flames in a Swirl-stabilized Annular Combustor by a Time-series Learning Approach—0
Dynamic and Memory-efficient Shape Based Methodologies for User Type Identification in Smart Grid Applications—0
Dynamic Security Region of Natural Gas Systems in Integrated Electricity-Gas Systems—0
Dynamic Sparse Graph for Efficient Deep Learning—0
Dynamic Tensor Clustering—0
DysLexML: Screening Tool for Dyslexia Using Machine Learning—0
Early and Late Combinations of Criteria for Reranking Distributional Thesauri—0
Early detection of diabetes through transfer learning-based eye (vision) screening and improvement of machine learning model performance and advanced parameter setting algorithms—0
EasiCS: the objective and fine-grained classification method of cervical spondylosis dysfunction—0
Economic Forecasts Using Many Noises—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