Results 31 to 40 of about 261,503 (259)
Region Constraint Person Re-Identification via Partial Least Square on Riemannian Manifold
Person re-identification refers to matching images of pedestrians from camera networks distributed at different locations. It involves multiple challenging problems, especially large variations in illumination, viewpoint, and occlusion which exert ...
Chen Zhang, Qiaoling Liu
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Research Data Processing Through Structural Equation Model-Partial Least Square (SEM-PLS) Method
Structural Equation Modeling (SEM) is one type of multivariate analysis in the social sciences. Multivariate analysis is the application of statistical methods to analyze several research variables simultaneously. This community service activity was held
Petrolis Nusa Perdana +3 more
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Faktor -Faktor yang memengaruhi Peningkatan Daya Saing Klaster Mebel di Kabupaten Jepara
Indonesia is known as one of the nation's largest mebel exporter in the world. But, the development of Central Java mebel exports for four years fluctuated but tended to decline that was caused by economic crisis of the world. Industrial clusters are one
Naniek Utami Handayani +2 more
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Analisis Faktor Fasilitas Pendidikan Anak Usia Dini dengan Metode Structural Partial Least Square
Fasilitas pendidikan dalam proses pembelajaran di sekolah diyakini mampu meningkatkan prestasi dan kualitas siswa. Dengan fasilitas sekolah yang mendukung siswa untuk belajar mandiri dan tidak hanya mengandalkan proses belajar mengajar di sekolah ...
Rivo Panji Yudha, Novi Andriyati Noza
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A Novel Nonlinear Partial Least Square Integrated With Error-Based Extreme Learning Machine
This paper proposes a novel nonlinear partial least square (PLS) approach for dealing with the modeling problem of industrial processes with input variables in collinearity.
Ze Dong, Ning Ma
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Robust Partially-Compressed Least-Squares
Randomized matrix compression techniques, such as the Johnson-Lindenstrauss transform, have emerged as an effective and practical way for solving large-scale problems efficiently. With a focus on computational efficiency, however, forsaking solutions quality and accuracy becomes the trade-off.
Stephen Becker +3 more
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PLASMA: Partial LeAst Squares for Multiomics Analysis
Background/Objectives: Recent growth in the number and applications of high-throughput “omics” technologies has created a need for better methods to integrate multiomics data. Much progress has been made in developing unsupervised methods, but supervised methods have lagged behind. Methods: Here we present the first algorithm, PLASMA, that can learn to
Kyoko Yamaguchi +5 more
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Misperception of Body Weight After Childhood Cancer
ABSTRACT Background Misperception of body weight can negatively impact the weight management efforts of childhood cancer survivors (CCSs). Both being overweight or underweight are associated with chronic health conditions commonly observed in CCS; therefore, accurate weight perception is critical for reducing long‐term health risks.
Fabiën N. Belle +8 more
wiley +1 more source
Envelopes and Partial Least Squares Regression
SummaryWe build connections between envelopes, a recently proposed context for efficient estimation in multivariate statistics, and multivariate partial least squares (PLS) regression. In particular, we establish an envelope as the nucleus of both univariate and multivariate PLS, which opens the door to pursuing the same goals as PLS but using ...
Cook, R. D., Helland, I. S., Su, Z.
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ABSTRACT Background Childhood aplastic anemia (AA) is a rare disease, and both the disease itself and its treatment cause significant morbidity. We aimed to determine the contemporary incidence of childhood AA in Finland, to compare the clinical characteristics of AA against inherited bone marrow failure syndromes (IBMFS) and refractory cytopenia of ...
Lauri‐Matti Kulmala +8 more
wiley +1 more source

