SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 26012650 of 3304 papers

TitleStatusHype
Angle constrained path to cluster multiple manifolds0
Learning Integral Representations of Gaussian ProcessesCode0
Entropy-Isomap: Manifold Learning for High-dimensional Dynamic Processes0
Out-of-sample extension of graph adjacency spectral embedding0
First-order bifurcation detection for dynamic complex networks0
Unsupervised vehicle recognition using incremental reseeding of acoustic signatures0
Shamap: Shape-based Manifold Learning0
Natural data structure extracted from neighborhood-similarity graphs0
Fisherposes for Human Action Recognition Using Kinect Sensor DataCode0
A Diffusion Approximation Theory of Momentum SGD in Nonconvex Optimization0
From Gameplay to Symbolic Reasoning: Learning SAT Solver Heuristics in the Style of Alpha(Go) ZeroCode0
On the Needs for Rotations in Hypercubic Quantization Hashing0
Convex Formulations for Fair Principal Component AnalysisCode0
Modeling Global Dynamics from Local Snapshots with Deep Generative Neural Networks0
A Spatial Mapping Algorithm with Applications in Deep Learning-Based Structure Classification0
Outlier Detection for Robust Multi-dimensional Scaling0
Dimension Reduction Using Active Manifolds0
Deep Temporal Clustering : Fully Unsupervised Learning of Time-Domain FeaturesCode0
Rigorous Restricted Isometry Property of Low-Dimensional Subspaces0
Nonlinear Dimensionality Reduction on Graphs0
Using Deep Autoencoders for Facial Expression Recognition0
Generalized two-dimensional linear discriminant analysis with regularization0
Efficient Text Classification Using Tree-structured Multi-linear Principal Component Analysis0
Dimensionality Reduction in Deep Learning for Chest X-Ray Analysis of Lung Cancer0
Robust Kronecker Component Analysis0
Unsupervised Hashtag Retrieval and Visualization for Crisis Informatics0
Computation of the Maximum Likelihood estimator in low-rank Factor Analysis0
Semi-supervised Fisher vector network0
A Hardware-Friendly Algorithm for Scalable Training and Deployment of Dimensionality Reduction Models on FPGA0
Soft Locality Preserving Map (SLPM) for Facial Expression Recognition0
Graph Autoencoder-Based Unsupervised Feature Selection with Broad and Local Data Structure Preservation0
Learning automata based SVM for intrusion detection0
Deep Temporal Clustering: Fully unsupervised learning of time-domain featuresCode0
Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly DetectionCode0
Kernel Regression with Sparse Metric Learning0
Efficient Algorithms for t-distributed Stochastic Neighborhood EmbeddingCode0
A Mixture of Matrix Variate Bilinear Factor AnalyzersCode0
Evaluation of PPG Biometrics for Authentication in different states0
Space-Filling Curve Indices as Acceleration Structure for Exemplar-Based Inpainting0
Taming Wild High Dimensional Text Data with a Fuzzy Lash0
Image Super-resolution via Feature-augmented Random ForestCode0
Multiple testing for outlier detection in functional data0
Empirical Evaluation of Kernel PCA Approximation Methods in Classification Tasks0
Effects of population- and seed bank noise on neutral evolution and efficacy of natural selection0
Tensor Train Neighborhood Preserving Embedding0
PFAx: Predictable Feature Analysis to Perform Control0
From which world is your graph0
Sparse Embedded k-Means Clustering0
Sketching out the Details: Sketch-based Image Retrieval using Convolutional Neural Networks with Multi-stage RegressionCode0
Hierarchical Bayesian image analysis: from low-level modeling to robust supervised learning0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy90.9Unverified
2tSNEClassification Accuracy51.5Unverified
3IVISClassification Accuracy46.6Unverified
4UMAPClassification Accuracy41.3Unverified
#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy71.1Unverified
2QSClassification Accuracy68Unverified