Results 51 to 60 of about 232,203 (264)
IEEE Access, 2017 Since microaneurysms (MAs) can be seen as the earliest lesions in diabetic retinopathy, its detection plays a critical role in the diabetic retinopathy diagnosis.
Wei Zhou +4 more
doaj +1 more source
Alternating direction method of multipliers for penalized zero-variance discriminant analysis [PDF]
, 2015 We consider the task of classification in the high dimensional setting where the number of features of the given data is significantly greater than the number of observations.
Ames, Brendan +2 more
core +3 more sources
Sparse Functional Principal Component Analysis in High Dimensions
Statistica Sinica, 2023 27 pages, 2 figures, 3 ...
Hu, Xiaoyu, Yao, Fang
openaire +2 more sources
Sparse and Functional Principal Components Analysis [PDF]
2019 IEEE Data Science Workshop (DSW), 2019 The published version of this paper incorrectly thanks "Luofeng Luo" instead of "Luofeng Liao" in the ...
Allen, Genevera I., Weylandt, Michael
openaire +2 more sources
Improving Sparse Representation-Based Classification Using Local Principal Component Analysis
, 2018 Sparse representation-based classification (SRC), proposed by Wright et al., seeks the sparsest decomposition of a test sample over the dictionary of training samples, with classification to the most-contributing class.
A. Singer +20 more
core +1 more source
Certifiably optimal sparse principal component analysis [PDF]
Mathematical Programming Computation, 2019 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lauren Berk, Dimitris Bertsimas
openaire +4 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Gastrointestinal graft‐versus‐host disease (GI GVHD) following hematopoietic stem cell transplant is typically managed with medical therapy, but surgery and angioembolization may be warranted in selected cases with life‐threatening complications.
Gaia Brunetti +12 more
wiley +1 more source
Robust sparse principal component analysis
, 2011 A method for principal component analysis is proposed that is sparse and robust at the same time. The sparsity delivers principal components that have loadings on a small number of variables, making them easier to interpret. The robustness makes the analysis resistant to outlying observations.
Croux, Christophe +2 more
openaire +2 more sources
Mapping the evolution of mitochondrial complex I through structural variation
FEBS Letters, EarlyView.Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin +2 more
wiley +1 more source
A flexible framework for sparse simultaneous component based data integration
BMC Bioinformatics, 2011 1 Background High throughput data are complex and methods that reveal structure underlying the data are most useful. Principal component analysis, frequently implemented as a singular value decomposition, is a popular technique in this respect.
Van Deun Katrijn +4 more
doaj +1 more source