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Journal of convex analysis, ISSN 0944-6532, 1994
Journal
2015, Mathematical surveys and monographs, ISBN 9781470421939, Volume 202, v.
Book
Journal of nonlinear and convex analysis, ISSN 1345-4773, 2000
Journal
IEEE Transactions on Signal Processing, ISSN 1053-587X, 06/2016, Volume 64, Issue 12, pp. 3118 - 3130
Journal Article
Book
ACM Transactions on Graphics (TOG), ISSN 0730-0301, 12/2014, Volume 34, Issue 1, pp. 1 - 11
.... The segmentation is based on an intermediate-level analysis, where first the shape is decomposed into approximate convex components, which are then merged into consistent parts based on a nonlocal geometric signature... 
point clouds | part characterization | weakly convex decomposition | incomplete shapes | missing data | Shape segmentation | Missing data | Incomplete shapes | Part characterization | Point clouds | Weakly convex decomposition | CO-SEGMENTATION | RECONSTRUCTION | DECOMPOSITION | 3D SHAPES | COMPUTER SCIENCE, SOFTWARE ENGINEERING | MESH SEGMENTATION | Algorithms | State of the art | Approximation | Segmentation | Scanners | Robustness | Decomposition | Signatures | Three dimensional models
Journal Article
The Annals of statistics, ISSN 0090-5364, 8/2012, Volume 40, Issue 4, pp. 2195 - 2238
Journal Article
2006, 2nd ed., CMS books in mathematics, ISBN 0387295704, Volume 3, xii, 310
.... This book aims to provide a concise, accessible account of convex analysis and its applications and extensions, for a broad audience... 
Nonlinear theories | Mathematical optimization | Convex functions
Book
Journal of Machine Learning Research, ISSN 1532-4435, 03/2010, Volume 11, pp. 1081 - 1107
We consider learning formulations with non-convex objective functions that often occur in practical applications. There are two approaches to this problem:... 
Convex relaxation | Non-convex optimization | Multi-stage convex relaxation | Sparsity | non-convex optimization | multi-stage convex relaxation | NONCONCAVE PENALIZED LIKELIHOOD | CONSISTENCY | LASSO | CLASSIFICATION | sparsity | convex relaxation | SELECTION | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Journal of the American Statistical Association, ISSN 1537-274X, 2015, Volume 110, Issue 511, pp. 1266 - 1275
We propose localized functional principal component analysis (LFPCA), looking for orthogonal basis functions with localized support regions that explain most of the variability of a random process... 
Orthogonality | Convex optimization | Interpretability | Deflation | Domain selection | Functional principal component analysis | REGRESSION | MORTALITY | RATES | STATISTICS & PROBABILITY | deflation | interpretability | convex optimization | domain selection | orthogonality | functional principal component analysis
Journal Article
1970, Princeton mathematical series, ISBN 0691080690, Volume 28., xviii, 451
Available for the first time in paperback, R. Tyrrell Rockafellar's classic study presents readers with a coherent branch of nonlinear mathematical analysis that is especially suited to the study of optimization problems... 
Mathematical analysis | Convex domains | Mathematics | Convex functions | Convex sets | Functional analysis
Book
Trends in Biotechnology, ISSN 0167-7799, 2004, Volume 22, Issue 8, pp. 400 - 405
...) and the human pathogen Helicobacter pylori. Descriptions of network properties generated by using these two approaches in the analysis of realistic metabolic networks need... 
EXTREME PATHWAYS | MODELS | METABOLIC NETWORKS | ERA | BIOTECHNOLOGY & APPLIED MICROBIOLOGY | SYSTEMS | CELL-METABOLISM | Signal Transduction - physiology | Algorithms | Helicobacter pylori - metabolism | Humans | Computational Biology | Erythrocytes - metabolism | Genomes | Metabolites | Methods | Convex analysis
Journal Article
JOURNAL OF MACHINE LEARNING RESEARCH, ISSN 1532-4435, 2017, Volume 18
Factor Analysis (FA) is a technique of fundamental importance that is widely used in classical and modern multivariate statistics, psychometrics, and econometrics... 
MATRIX | rank minimization | WARM-START STRATEGIES | first order methods | RELIABILITY | global optimization | INTERIOR-POINT METHODS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | nonlinear optimization | factor analysis | MINIMIZATION | ENVELOPES | CONVEX | discrete optimization | MINIMUM RANK | OPTIMIZATION | COVARIANCE | semidefinite optimization | AUTOMATION & CONTROL SYSTEMS
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