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Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2801–2850 of 3304 papers

TitleStatusHype
Visual response properties of MSTd emerge from a sparse population code—0
Exemplar-Centered Supervised Shallow Parametric Data Embedding—0
Cloud-based Deep Learning of Big EEG Data for Epileptic Seizure Prediction—0
Maximally Correlated Principal Component Analysis—0
RIPML: A Restricted Isometry Property based Approach to Multilabel Learning—0
Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing DataCode0
Stochastic Neighbor Embedding separates well-separated clusters—0
Predicting Pairwise Relations with Neural Similarity EncodersCode1
Toward the automated analysis of complex diseases in genome-wide association studies using genetic programmingCode0
Intrinsic Grassmann Averages for Online Linear, Robust and Nonlinear Subspace Learning—0
Computational Techniques in Multispectral Image Processing: Application to the Syriac Galen Palimpsest—0
Representation of big data by dimension reduction—0
Faster Discovery of Faster System Configurations with Spectral Learning—0
Stable Recovery Of Sparse Vectors From Random Sinusoidal Feature Maps—0
A Deep Convolutional Auto-Encoder with Pooling - Unpooling Layers in Caffe—0
Self-Taught Convolutional Neural Networks for Short Text ClusteringCode0
Data-Driven Forecast of Dengue Outbreaks in Brazil: A Critical Assessment of Climate Conditions for Different Capitals—0
Microstructure Representation and Reconstruction of Heterogeneous Materials via Deep Belief Network for Computational Material DesignCode0
Stochastic Multidimensional Scaling—0
Fractal Descriptors of Texture Images Based on the Triangular Prism Dimension—0
High Performance Software in Multidimensional Reduction Methods for Image Processing with Application to Ancient Manuscripts—0
Self-calibrating Neural Networks for Dimensionality Reduction—0
Non-Redundant Spectral Dimensionality Reduction—0
Quantized Random Projections and Non-Linear Estimation of Cosine Similarity—0
Dimensionality Reduction of Massive Sparse Datasets Using Coresets—0
Large Margin Discriminant Dimensionality Reduction in Prediction Space—0
SenticNet 4: A Semantic Resource for Sentiment Analysis Based on Conceptual Primitives—0
LSTM Autoencoders for Dialect Analysis—0
Adaptive Down-Sampling and Dimension Reduction in Time Elastic Kernel Machines for Efficient Recognition of Isolated Gestures—0
Image-based localization using LSTMs for structured feature correlation—0
Firing Rate Dynamics in Recurrent Spiking Neural Networks with Intrinsic and Network Heterogeneity—0
Scalable Adaptive Stochastic Optimization Using Random Projections—0
ResFeats: Residual Network Based Features for Image Classification—0
Faster variational inducing input Gaussian process classification—0
Generalized BackPropagation, Étude De Cas: Orthogonality—0
Generalisation and Sharing in Triplet Convnets for Sketch based Visual Search—0
Chiron: A Robust Recommendation System with Graph Regularizer—0
Feature Engineering and Ensemble Modeling for Paper Acceptance Rank Prediction—0
Error Metrics for Learning Reliable Manifolds from Streaming Data—0
Policy Search with High-Dimensional Context Variables—0
Audio Visual Speech Recognition using Deep Recurrent Neural Networks—0
Information-Theoretic Bounds and Approximations in Neural Population Coding—0
Quantum Laplacian Eigenmap—0
Disentangling Topic Models: A Cross-cultural Analysis of Personal Values through Words—0
A Category Space Approach to Supervised Dimensionality Reduction—0
Bayesian latent structure discovery from multi-neuron recordingsCode0
UTD-CRSS Systems for 2016 NIST Speaker Recognition Evaluation—0
A Theoretical Analysis of Noisy Sparse Subspace Clustering on Dimensionality-Reduced Data—0
Representation Learning with Deconvolution for Multivariate Time Series Classification and VisualizationCode0
Nonlinear Structural Vector Autoregressive Models for Inferring Effective Brain Network Connectivity—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