Potential Partnerships: Progressive Criminology, Grassroots Organizations and Social Justice
International Journal for Crime, Justice and Social Democracy, 2015 Criminologists around the globe are writing about the disproportionate criminalization of minority groups and – in the US in particular – about racial disproportionality in all aspects of the criminal justice system.
Tim Goddard +2 more
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A chemometric approach to the headspace sampled volatiles of selected Salvia species from Southeastern Serbia [PDF]
Botanica Serbica, 2022 Headspace sampling is a fast, simple and economical way to prepare plant samples for analysis by gas chromatography. For the first time, the composition of the head space volatiles (HSV) of six Salvia species (S. verticillata, S. glutinosa, S.
Emilija Kostić +5 more
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Effective feature extraction and data reduction with hyperspectral imaging in remote sensing [PDF]
, 2014 Although PCA has been widely used for feature extraction and data reduction, it suffers from three main drawbacks: high computational cost, large memory requirement and low efficacy in processing large datasets such as HSI.
Zabalza, Jaime +3 more
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Overview of 2D-PCA MSM (smaller dotted rectangle) and 2D-PCA-R MSM (larger dotted rectangle).
, 2021 Overview of 2D-PCA MSM (smaller dotted rectangle) and 2D-PCA-R MSM (larger dotted rectangle).
Yumi Iwashita (11261748) +3 more
core +1 more source
Comparison of temporal and spatial patterns of water quality parameters in Anzali Wetland (southwest of the Caspian Sea) using Support vector machine model [PDF]
Caspian Journal of Environmental Sciences, 2021 Urgent is growing to have reliable information from the country's water resources. In recent years, data mining models such as artificial neural network (ANN), gene expression programming, Bayesian network, machine algorithms, such as a support vector ...
Maryam Fallah +3 more
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SIAM Journal on Imaging Sciences, 2013 We describe a method for analyzing the principal modes of geometric variability of images. For this purpose, we propose a general framework based on the use of deformation operators for modeling the geometric variability of images around a reference mean pattern.
Bigot, Jérémie +2 more
openaire +8 more sources
$e$PCA: High dimensional exponential family PCA
The Annals of Applied Statistics, 2018 Many applications, such as photon-limited imaging and genomics, involve large datasets with noisy entries from exponential family distributions. It is of interest to estimate the covariance structure and principal components of the noiseless distribution.
Liu, Lydia T. +2 more
openaire +4 more sources
DWT/PCA face recognition using automatic coefficient selection [PDF]
, 2008 In PCA-based face recognition, there is often a trade-off between selecting the most relevant parts of a face image for recognition and not discarding information which may be useful.
Paul Nicholl +3 more
core +1 more source
, 2021 Comparison of correct classification rate (CCR) [%] of each of MSM [12], the proposed 2D-PCA MSM, the proposed 2D-PCA-R MSM (θ = −10), and the proposed B-2D-PCA-R MSM on CASIA-C [14] (slow walk fs).
Yumi Iwashita (11261748) +3 more
core +1 more source
Principal component analysis and its generalizations for any type of sequence (PCA-Seq)
Вавиловский журнал генетики и селекции, 2020 In the 1940s, Karhunen and Loève proposed a method for processing a one-dimensional numeric time series by converting it into multidimensional by shifts. In fact, a one-dimensional number series was decomposed into several orthogonal time series.
V. M. Efimov +2 more
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