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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 3251–3260 of 3304 papers

Title	Date	Tasks	Status	Hype
SemEval-2012 Task 7: Choice of Plausible Alternatives: An Evaluation of Commonsense Causal Reasoning	Jul 1, 2012	Commonsense Causal ReasoningDimensionality Reduction	—Unverified	0
Variable noise and dimensionality reduction for sparse Gaussian processes	Jun 27, 2012	Dimensionality ReductionGaussian Processes	—Unverified	0
Modeling coherence in ESOL learner texts	Jun 1, 2012	Dimensionality ReductionText Classification	—Unverified	0
Analyse en Composante Principale pour l'extraction des i-vecteurs en v\'erification du locuteur (Principal Component Analysis for i-vector extraction in speaker verification.) [in French]	Jun 1, 2012	Dimensionality ReductionSpeaker Verification	—Unverified	0
Forecastable Component Analysis (ForeCA)	May 21, 2012	Dimensionality ReductionGeneral Classification	—Unverified	0
A hierarchical approach with feature selection for emotion recognition from speech	May 1, 2012	ClassificationDimensionality Reduction	—Unverified	0
This also affects the context - Errors in extraction based summaries	May 1, 2012	Dimensionality Reduction	—Unverified	0
Scikit-learn: Machine Learning in Python	Jan 2, 2012	BIG-bench Machine LearningClustering	CodeCode Available	0
Book Review: Graph-Based Natural Language Processing and Information Retrieval by Rada Mihalcea and Dragomir Radev	Jan 1, 2012	Dimensionality ReductionGraph Clustering	—Unverified	0
Dimensionality Reduction Using the Sparse Linear Model	Dec 1, 2011	compressed sensingDimensionality Reduction	—Unverified	0

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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