Search results for "principal"

Image enhancement by region detection on CFA data images

2007

La violencia de hijos adolescentes contra sus progenitores

2013

[EN] According to Prosecutor¿s Office of the Minor, the accusation interposed by mothers and/or fathers victims by theirs children, along 2007 were 2603, in 2008 amounted 4.211, in 2009 there were 5.209 and in 2010 there were 8.000 accusations. Suede this worrying increase, the principal aim of our article is to check the scientific international and national documentation, from 1957 until the year 2010 that analyses the phenomenon of the adolescent violence against parents, to achieve an approximation to its keys that there allows us the comprehension and analysis of this serious familiar problem. For it we will analyse: (a) the importance of this crime by means of criminological mediators…

Decoding the XXI Century’s Marketing Shift: An Agency Theory Framework

2016

Since the beginning of the XXI century, marketing theory has moved through a series of epistemological shifts from modern positivism to postmodern constructivism. This has resulted in a series of changes to the main concepts of “traditional” marketing such as: market, product, customer, and value. These shifts can be better viewed under a social cybernetics approach such as agency theory. This is because there is now a view that the linear concept of value creation needs to give way to the more complex process of value cocreation, where value is created collectively. Agency theory is one approach that is able to shed light on how customers and providers are able to recursively create collec…

An overview of incremental feature extraction methods based on linear subspaces

2018

Abstract With the massive explosion of machine learning in our day-to-day life, incremental and adaptive learning has become a major topic, crucial to keep up-to-date and improve classification models and their corresponding feature extraction processes. This paper presents a categorized overview of incremental feature extraction based on linear subspace methods which aim at incorporating new information to the already acquired knowledge without accessing previous data. Specifically, this paper focuses on those linear dimensionality reduction methods with orthogonal matrix constraints based on global loss function, due to the extensive use of their batch approaches versus other linear alter…

Effects of sanctions, moral beliefs, and neutralization on information security policy violations across cultures

2020

Abstract A principal concern of organizations is the failure of employees to comply with information security policies (ISPs). Deterrence theory is one of the most frequently used theories for examining ISP violations, yet studies using this theory have produced mixed results. Past research has indicated that cultural differences may be one reason for these inconsistent findings and have hence called for cross-cultural research on deterrence in information security. To address this gap, we formulated a model including deterrence, moral beliefs, shame, and neutralization techniques and tested it with the employees from 48 countries working for a large multinational company.

The silent work of speech. On an Enactive Grammar’s Insight

2019

Many research programs have been worked out in recent years in order to account for an apparently trivial aspect of the human language activity. We refer to the fact that every speaker hears the sound of his own words. Our paper aims to embed this empirical insight in the theoretical framework of the so-called enactive grammar. This choice is justified by the fact that the enactive grammar introduced a formal distinction which allows to provide a clear formulation of the jakobsonian assert. In order to highlight this point, the paper will be subdivided into seven sections. The first section will be devoted to the experience of the hearing oneself speak. The second one will examine this expe…

US-Based Fast Food Restaurants: Factors Influencing International Expansion of Franchise Systems

2010

Studies of international franchising are scant, but growing, and can be divided into two main streams of research: those focused on environmental predictors of internationalization and those focused on strategic, firm level characteristics. Belonging to the latter category, this study empirically examines a set of firm level attributes as predictors of the decision-making on whether or not firms seek international expansion. Using longitudinal data from Bonds’ Franchise Guide 2001-2008, we draw upon a sample of U.S. based fast food franchise systems for testing our hypotheses. Specifically, our database is comprised of 1058 observations for 158 chains and we estimate a semi-parametric logis…

PSA-NCAM is expressed in immature, but not recently generated, neurons in the adult cat cerebral cortex layer II

2011

Neuronal production persists during adulthood in the dentate gyrus and the olfactory bulb, where substantial numbers of immature neurons can be found. These cells can also be found in the paleocortex layer II of adult rodents, but in this case most of them have been generated during embryogenesis. Recent reports have described the presence of similar cells, with a wider distribution, in the cerebral cortex of adult cats and primates and have suggested that they may develop into interneurons. The objective of this study is to verify this hypothesis and to explore the origin of these immature neurons in adult cats. We have analyzed their distribution using immunohistochemical analysis of the …

Análisis de la evolución de los usos del suelo urbano durante la burbuja inmobiliaria (1996-2006) : En las principales ciudades valencianas

2014

Learning with the kernel signal to noise ratio

2012

This paper presents the application of the kernel signal to noise ratio (KSNR) in the context of feature extraction to general machine learning and signal processing domains. The proposed approach maximizes the signal variance while minimizes the estimated noise variance in a reproducing kernel Hilbert space (RKHS). The KSNR can be used in any kernel method to deal with correlated (possibly non-Gaussian) noise. We illustrate the method in nonlinear regression examples, dependence estimation and causal inference, nonlinear channel equalization, and nonlinear feature extraction from high-dimensional satellite images. Results show that the proposed KSNR yields more fitted solutions and extract…