SOTAVerified

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 2826–2850 of 3304 papers

TitleStatusHype
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
Show:102550
← PrevPage 114 of 133Next →
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