Results 21 to 30 of about 232,548 (306)
Partial least squares for face hashing [PDF]
Neurocomputing, 2016 Face identification is an important research topic due to areas such as its application to surveillance, forensics and human-computer interaction. In the past few years, a myriad of methods for face identification has been proposed in the literature, with just a few among them focusing on scalability.
dos Santos, Cassio +3 more
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Novel Kernel Orthogonal Partial Least Squares for Dominant Sensor Data Extraction
IEEE Access, 2020 Orthogonal Partial Least Squares (OPLS) methods are aimed at finding the dominant factors from predictor variables that can maximize cross-covariance between the factors themselves and response variables while a high correlation between them should also ...
Bo-Wei Chen
doaj +1 more source
Recursive N-way partial least squares for brain-computer interface. [PDF]
PLoS ONE, 2013 In the article tensor-input/tensor-output blockwise Recursive N-way Partial Least Squares (RNPLS) regression is considered. It combines the multi-way tensors decomposition with a consecutive calculation scheme and allows blockwise treatment of tensor ...
Andrey Eliseyev, Tetiana Aksenova
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Ordinal Consistent Partial Least Squares [PDF]
, 2017 In this chapter, we present a new variance-based estimator called ordinal consistent partial least squares (OrdPLSc). It is a promising combination of consistent partial least squares (PLSc) and ordinal partial least squares (OrdPLS), respectively, which
Florian Schuberth +3 more
core +2 more sources
Interval partial least squares and moving window partial least squares in determining the enantiomeric composition of tryptophan by using UV-Vis spectroscopy [PDF]
Journal of the Serbian Chemical Society, 2016 The application of interval partial least squares (IPLS) and moving window partial least squares (MWPLS) to the enantiomeric analysis of tryptophan (Trp) was investigated. A UV-Vis spectroscopy method for determining the enantiomeric composition
Jiao Long +3 more
doaj +1 more source
PLASMA: Partial LeAst Squares for Multiomics Analysis. [PDF]
Cancers (Basel), 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
Yamaguchi K +5 more
europepmc +3 more sources
PARTIAL LEAST SQUARES REGRESSION $PLS$ ON INTERVAL DATA
Revista de la Facultad de Ciencias, 2016 Uncertainty in the data can be considered as a numerical interval in which a variable can assume its possible values, this has been known as interval data. In this paper the $PLS$ regression methodology is extended to the case where explanatory, response
Carlos Alberto Gaviria-Peña +2 more
doaj +1 more source
Neural Legal Outcome Prediction with Partial Least Squares Compression
Stats, 2020 Predicting the outcome of a case from a set of factual data is a common goal in legal knowledge discovery. In practice, solving this task is most of the time difficult due to the scarcity of labeled datasets. Additionally, processing long documents often
Charles Condevaux
doaj +1 more source
Partial least squares for dependent data [PDF]
Biometrika, 2016 The partial least squares algorithm for dependent data realisations is considered. Consequences of ignoring the dependence for the algorithm performance are studied both theoretically and in simulations. It is shown that ignoring certain non-stationary dependence structures leads to inconsistent estimation.
Singer, M. +3 more
openaire +5 more sources
A note on between-group PCA [PDF]
, 2004 In the context of binary classification with continuous predictors, we proove two properties concerning the connections between Partial Least Squares (PLS) dimension reduction and between-group PCA, and between linear discriminant analysis and between ...
Anne-laure Boulesteix +1 more
core +1 more source