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Dimensionality Reduction

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

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Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3151–3200 of 3304 papers

TitleStatusHype
Neural Codes for Image RetrievalCode0
A Systematic Study of Semantic Vector Space Model Parameters—0
A Knowledge-based Representation for Cross-Language Document Retrieval and Categorization—0
Word Embeddings through Hellinger PCA—0
Approximate Matrix Multiplication with Application to Linear Embeddings—0
Spectral Sparse Representation for Clustering: Evolved from PCA, K-means, Laplacian Eigenmap, and Ratio Cut—0
An Efficient Feature Selection in Classification of Audio Files—0
SRA: Fast Removal of General Multipath for ToF Sensors—0
A survey of dimensionality reduction techniques—0
Combination of PCA with SMOTE Resampling to Boost the Prediction Rate in Lung Cancer Dataset—0
Dimensionality reduction with subgaussian matrices: a unified theory—0
Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable ModelsCode0
Applying Supervised Learning Algorithms and a New Feature Selection Method to Predict Coronary Artery Disease—0
Human Activity Recognition using Smartphone—0
A Bilinear Programming Approach for Multiagent Planning—0
Highly comparative feature-based time-series classification—0
Factorized Point Process Intensities: A Spatial Analysis of Professional BasketballCode0
A Large Scale Evaluation of Distributional Semantic Models: Parameters, Interactions and Model Selection—0
Learning Deep Representations By Distributed Random Samplings—0
Sparse Matrix-based Random Projection for Classification—0
Face Recognition using Hough Peaks extracted from the significant blocks of the Gradient Image—0
An adaptive block based integrated LDP,GLCM,and Morphological features for Face Recognition—0
Robust Transfer Principal Component Analysis with Rank Constraints—0
Compressive Feature Learning—0
Robust learning of low-dimensional dynamics from large neural ensembles—0
Probabilistic Principal Geodesic Analysis—0
Efficient Learning and Planning with Compressed Predictive States—0
Dimensionality reduction for click-through rate prediction: Dense versus sparse representation—0
Auto-adaptative Laplacian Pyramids for High-dimensional Data Analysis—0
Toward a unified theory of sparse dimensionality reduction in Euclidean space—0
Visualizing the Effects of a Changing Distance on Data Using Continuous EmbeddingsCode0
Event-Driven Contrastive Divergence for Spiking Neuromorphic Systems—0
Kernel Multivariate Analysis Framework for Supervised Subspace Learning: A Tutorial on Linear and Kernel Multivariate Methods—0
Towards Robust Cross-Domain Domain Adaptation for Part-of-Speech Tagging—0
Updating Rare Term Vector Replacement—0
Applying Graph-based Keyword Extraction to Document Retrieval—0
Reconstructing Big Semantic Similarity Networks—0
An Image-Based Fluid Surface Pattern Model—0
Latent Fisher Discriminant Analysis—0
Sparse and Functional Principal Components AnalysisCode0
Thermal Human face recognition based on Haar wavelet transform and series matching technique—0
Some Options for L1-Subspace Signal Processing—0
SKYNET: an efficient and robust neural network training tool for machine learning in astronomy—0
Learning from the past, predicting the statistics for the future, learning an evolving systemCode0
Towards Basque Oral Poetry Analysis: A Machine Learning Approach—0
Clustering, Classification, Discriminant Analysis, and Dimension Reduction via Generalized Hyperbolic Mixtures—0
Manopt, a Matlab toolbox for optimization on manifolds—0
Learning Deep Representation Without Parameter Inference for Nonlinear Dimensionality Reduction—0
High-Dimensional Regression with Gaussian Mixtures and Partially-Latent Response Variables—0
On b-bit min-wise hashing for large-scale regression and classification with sparse data—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