Stable principal component pursuit (SPCP) seeks to decompose noisy signals into their underlying low-rank and sparse components. In this study, we introduce two new methods to parallelize SPCP in order to take advantage

Source URL: mmds-data.org

Fakultät für Informatik der Technischen Universität München Bachelorarbeit in Informatik

Source URL: www5.in.tum.de

• Sparse matrices
• Binary operations
• Numerical linear algebra
• Matrices
• Matrix theory
• Matrix
• Sparse matrix
• Cache-oblivious algorithm
• Block matrix
• Multiplication

Sparse Discriminant Analysis Line Clemmensen∗ Trevor Hastie∗∗ ∗ Department

Source URL: www2.imm.dtu.dk

• Algebraic number theory
• Statistical classification
• Multivariate statistics
• Linear discriminant analysis
• Discriminant
• Matrix

Sparse PCA corrects for cell type heterogeneity in epigenome-wide association studies

Source URL: www.cs.tau.ac.il

• Epigenetics
• DNA methylation
• Differentially methylated regions
• Principal component analysis
• Methylation
• Gene expression
• Epigenome

Towards an Optimal-Order Approximate Sparse Factorization Exploiting Data-Sparseness in Separators X. Sherry Li, Lawrence Berkeley National Laboratory Artem Napov, Université Libre de Bruxelles Francois-Henry Rouet, Law

Source URL: crd-legacy.lbl.gov

• Rapid transit in Austria
• Vienna U-Bahn
• U1
• U3
• Matrix
• Nested dissection
• Hierarchical matrix
• U4

arXiv:1505.06449v3 [cs.LG] 2 JulEfficient Elastic Net Regularization for Sparse Linear Models Zachary C. Lipton

Source URL: arxiv.org

Sparse Matrix Algorithms combinatorics + numerical methods + applications Math + X Tim Davis University of Florida

Source URL: faculty.cse.tamu.edu

Efficient Methods for Inferring Large Sparse Topic Hierarchies Doug Downey, Chandra Sekhar Bhagavatula, Yi Yang Electrical Engineering and Computer Science Northwestern University ,{csb,yiyan

Source URL: www.anthology.aclweb.org

Journal of Machine Learning Research2334 Submitted 9/10; Revised 3/11; Published 7/11 Proximal Methods for Hierarchical Sparse Coding Rodolphe Jenatton∗ †

Source URL: jmlr.csail.mit.edu