SOTAVerified

Dimensionality Reduction

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

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Papers

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Showing 2801–2850 of 3304 papers

TitleStatusHype
Joint Embedding of GraphsCode0
Pretata: predicting TATA binding proteins with novel features and dimensionality reduction strategy—0
Evaluating Graph Signal Processing for Neuroimaging Through Classification and Dimensionality Reduction—0
Applying Ricci Flow to High Dimensional Manifold Learning—0
L^3-SVMs: Landmarks-based Linear Local Support Vectors Machines—0
A description length approach to determining the number of k-means clusters—0
Semi-supervised Learning based on Distributionally Robust Optimization—0
Feasibility of Principal Component Analysis in hand gesture recognition system—0
Visual response properties of MSTd emerge from a sparse population code—0
Exemplar-Centered Supervised Shallow Parametric Data Embedding—0
Maximally Correlated Principal Component Analysis—0
Cloud-based Deep Learning of Big EEG Data for Epileptic Seizure Prediction—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
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
Representation of big data by dimension reduction—0
Computational Techniques in Multispectral Image Processing: Application to the Syriac Galen Palimpsest—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
SenticNet 4: A Semantic Resource for Sentiment Analysis Based on Conceptual Primitives—0
Dimensionality Reduction of Massive Sparse Datasets Using Coresets—0
Quantized Random Projections and Non-Linear Estimation of Cosine Similarity—0
LSTM Autoencoders for Dialect Analysis—0
Large Margin Discriminant Dimensionality Reduction in Prediction Space—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
ResFeats: Residual Network Based Features for Image Classification—0
Scalable Adaptive Stochastic Optimization Using Random Projections—0
Firing Rate Dynamics in Recurrent Spiking Neural Networks with Intrinsic and Network Heterogeneity—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
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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