Results 31 to 40 of about 261,503 (259)

Region Constraint Person Re-Identification via Partial Least Square on Riemannian Manifold

open access: yesIEEE Access, 2018
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
doaj   +1 more source

Research Data Processing Through Structural Equation Model-Partial Least Square (SEM-PLS) Method

open access: yesJurnal Pemberdayaan Masyarakat Madani, 2023
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
doaj   +1 more source

Faktor -Faktor yang memengaruhi Peningkatan Daya Saing Klaster Mebel di Kabupaten Jepara

open access: yesJurnal Teknik Industri, 2012
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
doaj   +1 more source

Analisis Faktor Fasilitas Pendidikan Anak Usia Dini dengan Metode Structural Partial Least Square

open access: yesJurnal Pelita PAUD, 2023
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
doaj   +1 more source

A Novel Nonlinear Partial Least Square Integrated With Error-Based Extreme Learning Machine

open access: yesIEEE Access, 2019
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
doaj   +1 more source

Robust Partially-Compressed Least-Squares

open access: yesCoRR, 2015
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
openaire   +2 more sources

PLASMA: Partial LeAst Squares for Multiomics Analysis

open access: yesCancers, 2023
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
openaire   +2 more sources

Misperception of Body Weight After Childhood Cancer

open access: yesPediatric Blood &Cancer, EarlyView.
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

open access: yesJournal of the Royal Statistical Society Series B: Statistical Methodology, 2013
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.
openaire   +1 more source

A Population‐Based Study on Childhood Aplastic Anemia—Incidence, Outcomes, and Health‐Related Quality of Life

open access: yesPediatric Blood &Cancer, EarlyView.
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

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