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Sparse PCA
Sparse principal component analysis (sparse PCA) is a specialised technique used in statistical analysis and, in particular, in the analysis of…
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7 relations
Convex set
List of transforms
Planted clique
Principal component analysis
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Review
2016
Review
2016
RESEARCH ISSUES IN TEXT CATEGORIZATION BASED ON MACHINE LEARNING: A REVIEW
Sumanta Kashyapi
,
D. M. Kumari
2016
Corpus ID: 212590549
A collection of textual data becomes useful only when the valuable information contained by it is extracted. Text mining is the…
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2015
2015
Application of Principal Components Analysis Results in Visual Network Analysis
Andrey Sergeevich Denisenko
,
G. O. Krylov
2015
Corpus ID: 55164259
The paper deals with the application of principal components analysis in a roleof a preprocessor of the source data and its role…
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2013
2013
Noisy estimation of simultaneously structured models: Limitations of convex relaxation
Samet Oymak
,
Amin Jalali
,
Maryam Fazel
,
B. Hassibi
IEEE Conference on Decision and Control
2013
Corpus ID: 15077706
Models or signals exhibiting low dimensional behavior (e.g., sparse signals, low rank matrices) play an important role in signal…
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2012
2012
Feature selection from high-order tensorial data via sparse decomposition
Donghui Wang
,
Shu Kong
Pattern Recognition Letters
2012
Corpus ID: 6017777
2012
2012
Sparse PCA Asymptotics and Analysis of Tree Data
D. Shen
2012
Corpus ID: 64414378
DAN SHEN: Sparse PCA Asymptotics and Analysis of Tree Data. (Under the direction of J. S. Marron and Haipeng Shen.) This research…
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2011
2011
Sparse PCA by iterative elimination algorithm
Yang Wang
,
Qiang Wu
Advances in Computational Mathematics
2011
Corpus ID: 17012205
In this paper we proposed an iterative elimination algorithm for sparse principal component analysis. It recursively eliminates…
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2011
2011
Semidefinite Programming Relaxations in Timetabling
E. Burke
,
Jakub Marecek
,
A. Parkes
2011
Corpus ID: 12174715
This paper extends semidefinite programming relaxations of graph colouring to bounded graph colouring and extensions encountered…
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2010
2010
Sparse PCA for Text Corpus Summarization and Exploration
Brian Gawalt
,
Youwei Zhang
,
L. Ghaoui
2010
Corpus ID: 16316773
Low-rank matrix approximation can be used not just for greater computational efficiency or robustness, but also increasing data…
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2010
2010
Generalized Lasso Regularization for Regression Models
C. Flexeder
2010
Corpus ID: 120544651
2007
2007
SPARSE VARIABLE PRINCIPAL COMPONENT ANALYSIS WITH APPLICATION TO FMRI
M. Ulfarsson
,
V. Solo
IEEE International Symposium on Biomedical…
2007
Corpus ID: 21479923
Multivoxel methods such as principal component analysis (PCA) and independent component analysis (ICA) have been found to be…
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