Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 2976–3000 of 3304 papers

Title	Date	Tasks	Status
A fast, universal algorithm to learn parametric nonlinear embeddings	Dec 1, 2015	Dimensionality Reduction	—Unverified
Alternating Co-Quantization for Cross-Modal Hashing	Dec 1, 2015	Cross-Modal RetrievalDimensionality Reduction	—Unverified
Universality laws for randomized dimension reduction, with applications	Nov 30, 2015	compressed sensingDimensionality Reduction	—Unverified
A Normative Theory of Adaptive Dimensionality Reduction in Neural Networks	Nov 30, 2015	Dimensionality Reduction	—Unverified
Binding constants of membrane-anchored receptors and ligands: a general theory corroborated by Monte Carlo simulations	Nov 24, 2015	Dimensionality Reduction	—Unverified
ICU Patient Deterioration prediction: a Data-Mining Approach	Nov 21, 2015	Dimensionality Reductionfeature selection	—Unverified
Fast clustering for scalable statistical analysis on structured images	Nov 16, 2015	ClusteringComputational Efficiency	—Unverified
Deep Linear Discriminant Analysis	Nov 15, 2015	Dimensionality Reduction	CodeCode Available
Block-diagonal covariance selection for high-dimensional Gaussian graphical models	Nov 12, 2015	Dimensionality ReductionModel Selection	—Unverified
PCA-Based Out-of-Sample Extension for Dimensionality Reduction	Nov 3, 2015	Dimensionality Reduction	—Unverified
Dimensionality Reduction for Binary Data through the Projection of Natural Parameters	Oct 21, 2015	Dimensionality Reduction	CodeCode Available
Clustering Noisy Signals with Structured Sparsity Using Time-Frequency Representation	Oct 18, 2015	ClusteringDimensionality Reduction	CodeCode Available
The intrinsic value of HFO features as a biomarker of epileptic activity	Oct 13, 2015	Dimensionality ReductionEEG	—Unverified
Consistent Estimation of Low-Dimensional Latent Structure in High-Dimensional Data	Oct 13, 2015	Dimensionality ReductionVocal Bursts Intensity Prediction	—Unverified
Fast and Large-scale Unsupervised Relation Extraction	Oct 1, 2015	ClusteringDimensionality Reduction	—Unverified
A Comprehensive Filter Feature Selection for Improving Document Classification	Oct 1, 2015	ClassificationDimensionality Reduction	—Unverified
Foundations of Coupled Nonlinear Dimensionality Reduction	Sep 29, 2015	Dimensionality ReductionGeneralization Bounds	—Unverified
Compressive spectral embedding: sidestepping the SVD	Sep 28, 2015	ClusteringDimensionality Reduction	CodeCode Available
Word, graph and manifold embedding from Markov processes	Sep 18, 2015	Dimensionality ReductionWord Embeddings	—Unverified
Towards Making High Dimensional Distance Metric Learning Practical	Sep 15, 2015	Dimensionality ReductionMetric Learning	—Unverified
Ranking Entities in the Age of Two Webs, an Application to Semantic Snippets	Sep 15, 2015	Dimensionality Reduction	—Unverified
Geometry and dimensionality reduction of feature spaces in primary visual cortex	Sep 14, 2015	Dimensionality Reduction	—Unverified
Markov Boundary Discovery with Ridge Regularized Linear Models	Sep 14, 2015	Causal InferenceDimensionality Reduction	—Unverified
Minimum Spectral Connectivity Projection Pursuit	Sep 4, 2015	ClusteringDimensionality Reduction	CodeCode Available
Improving evaluation and optimization of MT systems against MEANT	Sep 1, 2015	Dimensionality ReductionMachine Translation	—Unverified

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All datasets MCA EMNIST

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	UDRN	Classification Accuracy	90.9	—	Unverified
2	tSNE	Classification Accuracy	51.5	—	Unverified
3	IVIS	Classification Accuracy	46.6	—	Unverified
4	UMAP	Classification Accuracy	41.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UDRN	Classification Accuracy	71.1	—	Unverified
2	QS	Classification Accuracy	68	—	Unverified