Using appearance and context for outdoor scene object classification

We propose a probabilistic object classifier for outdoor scene analysis as a first step in solving the problem of scene context generation. The method begins with a top-down control, which uses the previously learned models (appearance and absolute location) to obtain an initial pixel-level classification. This information provides us the core of objects, which is used to acquire a more accurate object model. Therefore, their growing by specific active regions allows us to obtain an accurate recognition of known regions. Next, a stage of general segmentation provides the segmentation of unknown regions by a bottom-strategy. Finally, the last stage tries to perform a region fusion of known and unknown segmented objects. The result is both a segmentation of the image and a recognition of each segment as a given object class or as an unknown segmented object. Furthermore, experimental results are shown and evaluated to prove the validity of our proposal

Classificação e definição dos métodos de análises em fluxo (Recomendações - IUPAC 1994)

The aim of this report is to classify analytical methods based on flowing media and to define (standardize) terminology. After the classification and a discussion of terms describing the systems and component parts, a section is devoted to terms describing the performance of flow systems. The list of terms included is restricted to the most relevant ones; especially "self-explanatory" terms are left out. It is emphasised that the usage of terms or expressions that do not adequately describe the processes or procedures involved should be strongly discouraged. Although belonging to the category of methods based on flowing media, chromatographic methods are not comprised in the present document. However, care has been taken that the present text is not in conflict with definitions in that domain. In documents in which flow methods are described, it should be clearly indicated how the sample and/or reagent is introduced and how the sample zone is transported. When introducing new techniques in the field, or variants of existing techniques, it is strongly recommended that descriptive terms rather than trivial or elaborate names are used.

Estudio piloto de la relación entre el aumento de la velocidad de onda del pulso en arteria carótida común medida por resonancia magnética y los factores de riesgo vasculares clásicos en sujetos con sospecha de lesión cerebrovascular isquémica

Arterial stiffness assessed by carotid-femoral pulse wave velocity (cfPWV) measurement is now well accepted as an independent predictor of vascular mortality and morbidity. However, the value of cfPWV has been considered to be limited for risk classification in patients with several vascular risk factors. Magnetic resonance (MR) allows measurement of PWV between two points, though to date mainly used to study the aorta. To assess the common carotid artery pulse wave velocity by magnetic resonance, determine their association with classical vascular risk factors and ischemic brain injury burden in patients with suspected ischemic cerebrovascular disease

Identification of molecular subtypes and gene expression patterns of breast cancer analysing RNA-seq data

Breast cancer is the most common diagnosed cancer and the leading cause of cancer death among females worldwide. It is considered a highly heterogeneous disease and it must be classified into more homogeneous groups. Hence, the purpose of this study was to classify breast tumors based on variations in gene expression patterns derived from RNA sequencing by using different class discovery methods. 42 breast tumors paired-samples were sequenced by Illumine Genome Analyzer and the data was analyzed and prepared by TopHat2 and htseq-count. As reported previously, breast cancer could be grouped into five main groups known as basal epithelial-like group, HER2 group, normal breast-like group and two Luminal groups with a distinctive expression profile. Classifying breast tumor samples by using PAM50 method, the most common subtype was Luminal B and was significantly associated with ESR1 and ERBB2 high expression. Luminal A subtype had ESR1 and SLC39A6 significant high expression, whereas HER2 subtype had a high expression of ERBB2 and CNNE1 genes and low luminal epithelial gene expression. Basal-like and normal-like subtypes were associated with low expression of ESR1, PgR and HER2, and had significant high expression of cytokeratins 5 and 17. Our results were similar compared with TGCA breast cancer data results and with known studies related with breast cancer classification. Classifying breast tumors could add significant prognostic and predictive information to standard parameters, and moreover, identify marker genes for each subtype to find a better therapy for patients with breast cancer.

The Effects of Corruption and Seigniorage on Growth and Inflation

In the last two decades, cases of corruption have been unveiled in different countries, raising public awareness and reinforcing a trend in which society expects more from their leaders. Our objective in this paper is to examine the effects of corruption and seigniorage on inflation and growth rates. The model used in this article is an extension of the model used by Huang and Wei (2006). We find interesting results and one of them is that, under some conditions, corruption has a positive impact on the growth rate. JEL classification : D73, E52, E58, E62. Keywords : Corruption; Fiscal Policy; Growth; Monetary Policy; Seigniorage.

Generalized three-sided assignment markets: consistency and the core

A class of three-sided markets (and games) is considered, where value is generated by pairs or triplets of agents belonging to different sectors, as well as by individuals. For these markets we analyze the situation that arises when some agents leave the market with some payoff To this end, we introduce the derived market (and game) and relate it to the Davis and Maschler (1965) reduced game. Consistency with respect to the derived market, together with singleness best and individual anti-monotonicity axiomatically characterize the core for these generalized three-sided assignment markets. These markets may have an empty core, but we define a balanced subclass, where the worth of each triplet is defined as the addition of the worths of the pairs it contains. Keywords: Multi-sided assignment market, Consistency, Core, Nucleolus. JEL Classification: C71, C78

Clasificación automática de textos y explotación BI

El presente proyecto tiene como objetivo desarrollar una tecnología que permita codificar grandes cantidades de texto de manera automática para posteriormente ser visualizada y analizada mediante una aplicación diseñada en Qlikview. El motor de la investigación e implementación de este proyecto se ha encontrado en la incipiente presencia de tecnologías informáticas en los procesos de codificación para ciencias políticas. De esta manera, el programa creado tiene como objetivo automatizar un proceso que se desarrolla comúnmente de manera manual y, por ende, las ventajas de introducir técnicas informáticas son notablemente valiosas. Estas automatizaciones permiten ahorrar tanto en tiempo de codificación, como en recursos económicos o humanos. Se ha elaborado una revisión teórica y metodológica que han servido como instrumentos de estudio y mejora, con el firme propósito de reducir al máximo el margen de error y ofrecer un instrumento de calidad con salida de mercado real. El método de clasificación utilizado ha sido Bayes, y se ha implementado utilizando Matlab. Los resultados de la clasificación han llegado a índices del 99.2%. En la visualización y análisis mediante Qlikview se pueden modificar los parámetros referentes a partido político, año, categoría o región, con lo que se permite analizar numerosos aspectos relacionados con la distribución de las palabras repartidas entre las diferentes categorías y en el tiempo.

Is Self-employment a Way to Escape from Skill Mismatches?

During the last two decades, skill mismatches have become one of the most important issues of policy concern in the EU (European Commission, 2008). Hence, the literature has stressed the necessity to reduce skill mismatches. We contribute to this literature by analyzing the impact of the transition from salaried employment to self-employment on self-reported skill mismatches. To do so, we resort to the European Community Household Panel (ECHP) covering the period 1994–2001. Using panel data, we track individuals over time and measure their self-reported skill mismatch before and after the transition. Our empirical findings indicate not only that the average self-employee is less likely to declare being skill-mismatched but also that those individuals who transit from salaried employment to self-employment reduce their probability of skill mismatches after the transition. Keywords: Self-employment, skill mismatches, salaried employment. JEL Classification: L26, J24, B23 __________________________

Learning Preferences with Kernel-Based Methods

Learning of preference relations has recently received significant attention in machine learning community. It is closely related to the classification and regression analysis and can be reduced to these tasks. However, preference learning involves prediction of ordering of the data points rather than prediction of a single numerical value as in case of regression or a class label as in case of classification. Therefore, studying preference relations within a separate framework facilitates not only better theoretical understanding of the problem, but also motivates development of the efficient algorithms for the task. Preference learning has many applications in domains such as information retrieval, bioinformatics, natural language processing, etc. For example, algorithms that learn to rank are frequently used in search engines for ordering documents retrieved by the query. Preference learning methods have been also applied to collaborative filtering problems for predicting individual customer choices from the vast amount of user generated feedback. In this thesis we propose several algorithms for learning preference relations. These algorithms stem from well founded and robust class of regularized least-squares methods and have many attractive computational properties. In order to improve the performance of our methods, we introduce several non-linear kernel functions. Thus, contribution of this thesis is twofold: kernel functions for structured data that are used to take advantage of various non-vectorial data representations and the preference learning algorithms that are suitable for different tasks, namely efficient learning of preference relations, learning with large amount of training data, and semi-supervised preference learning. Proposed kernel-based algorithms and kernels are applied to the parse ranking task in natural language processing, document ranking in information retrieval, and remote homology detection in bioinformatics domain. Training of kernel-based ranking algorithms can be infeasible when the size of the training set is large. This problem is addressed by proposing a preference learning algorithm whose computation complexity scales linearly with the number of training data points. We also introduce sparse approximation of the algorithm that can be efficiently trained with large amount of data. For situations when small amount of labeled data but a large amount of unlabeled data is available, we propose a co-regularized preference learning algorithm. To conclude, the methods presented in this thesis address not only the problem of the efficient training of the algorithms but also fast regularization parameter selection, multiple output prediction, and cross-validation. Furthermore, proposed algorithms lead to notably better performance in many preference learning tasks considered.

Banks, Lies and Bricks: The Determinants of Home Value Inflation in Spain during the Housing Boom

During the first decade of this century, Spain experienced the most important economic and housing boom in its recent history. This situation led the lending industry to dramatically expand through the mortgage market. The high competition among lenders caused a dramatic lowering of credit standards. During this period, lenders operating in the Spanish mortgage market artificially inflated appraised home values in order to draw larger mortgages. By doing this, lenders gave financially constrained households access to mortgage credit. In this paper, we analyze this phenomenon for this first time. To do so, we resort to a unique dataset of matched mortgage-dwelling-borrower characteristics covering the period 2004–2010. Our data allow us to construct an unbiased measure of property’s over-appraisal, since transaction prices in our data also includes any potential side payment in the transactions. Our findings indicate that i) in Spain, appraised home values were inflated on average by around 30% with respect to transaction prices; ii) creditconstrained households were more likely to be involved in mortgages with inflated house values; and iii) a regional indicator of competition in the lending market suggests that inflated appraisal values were also more likely to appear in more competitive regional mortgage markets. Keywords: Housing demand, appraisal values, house prices, housing bubble, credit constraints, mortgage market. JEL Classification: R21, R31

Energy efficiency determinants: An empirical analysis of Spanish innovative firms

This paper examines the extent to which innovative Spanish firms pursue improvements in energy efficiency (EE) as an objective of innovation. The increase in energy consumption and its impact on greenhouse gas emissions justifies the greater attention being paid to energy efficiency and especially to industrial EE. The ability of manufacturing companies to innovate and improve their EE has a substantial influence on attaining objectives regarding climate change mitigation. Despite the effort to design more efficient energy policies, the EE determinants in manufacturing firms have been little studied in the empirical literature. From an exhaustive sample of Spanish manufacturing firms and using a logit model, we examine the energy efficiency determinants for those firms that have innovated. To carry out the econometric analysis, we use panel data from the Community Innovation Survey for the period 2008‐2011. Our empirical results underline the role of size among the characteristics of firms that facilitate energy efficiency innovation. Regarding company behaviour, firms that consider the reduction of environmental impacts to be an important objective of innovation and that have introduced organisational innovations are more likely to innovate with the objective of increasing energy efficiency. Keywords: energy efficiency, corporate targets, innovation, Community Innovation Survey. JEL Classification: Q40, Q55, O31

De More a Moore : de la utopia al cos, i a l’inrevés

Through the graphic novel V for Vendetta by Alan Moore and David Lloyd, I problematize here the act of classification of the subgenres within each genre. This is a literary study that aims to reflect on the utopian genre. It is a genre which requires in order to be understood a consideration of society and its organization. The concept of society cannot be properly discussed without mentioning the surface on which it is based: people with their selves and their bodies. Institutions and conventions act subtly and constantly on us, offering more or less free roles, usually related to a particular physical appearance, as may be the mode of dress, or gesture- and generating a negotiation between our desires and our duties. In other words, they act on us to transform us into people suitable for the smooth running of the community

A Method for Sky-Condition Classification from Ground-Based Solar Radiation Measurements

Identification of clouds from satellite images is now a routine task. Observation of clouds from the ground, however, is still needed to acquire a complete description of cloud conditions. Among the standard meteorologicalvariables, solar radiation is the most affected by cloud cover. In this note, a method for using global and diffuse solar radiation data to classify sky conditions into several classes is suggested. A classical maximum-likelihood method is applied for clustering data. The method is applied to a series of four years of solar radiation data and human cloud observations at a site in Catalonia, Spain. With these data, the accuracy of the solar radiation method as compared with human observations is 45% when nine classes of sky conditions are to be distinguished, and it grows significantly to almost 60% when samples are classified in only five different classes. Most errors are explained by limitations in the database; therefore, further work is under way with a more suitable database

Veus ignorades: representacions socials, subjectivitat i resiliència en persones grans amb pèrdua d’autonomia funcional

Els processos per a l’aprovació i la implementació de la Llei per a l’Autonomia personal i l’Atenció a les Persones en situació de Dependència (LAPAD) han donat lloc a un intens debat polític i social que, coincidint també amb les millores en la provisió de serveis i els avenços mèdics, ha contribuït a un procés de classificació i d’etiquetatge basats en els dèficits de les persones que es troben en aquestes circumstàncies. Aquesta visió anul·la el subjecte i la seva experiència singular i condiciona l’abordatge dels models d’atenció i de cura. L’estudi pretén fer una aproximació a les persones grans amb pèrdua d’autonomia funcional, fent emergir les seves veus, que expressen com perceben, interpreten, afronten i es reajusten a la nova situació. Partint d’un enfocament constructivista, basat en la subjectivitat, es fa un recorregut sobre els models de la discapacitat que han reeixit en l’activitat científica dels darrers anys, els mecanismes de regulació de les pèrdues que defensen les teories del cicle vital i les aportacions que s’han fet sobre el model de la resiliència aplicat a les persones que envelleixen. El resultats de l’estudi mostren com les representacions i els significats que les persones grans atribueixen a la seva experiència s’inscriuen en les seves trajectòries vitals, donant un sentit únic i singular a la forma de viure i de respondre a la pèrdua d’autonomia funcional i les seves conseqüències. Aquelles que expressen una vivència d’integritat respecte de la vida viscuda, amb predomini d’afectes positius envers un mateix i els altres, que conserven l’esperança i el desig de continuar vivint, s’ajusten a les pèrdues de manera més satisfactòria que aquelles que expressen desconfiança i una certa amargor respecte de la pròpia vida. D’això se’n deriva que els espais d’escolta i d’acompanyament poden ser un recurs vàlid i necessari en el qual, a través de la paraula i el testimoni narrat, el subjecte pugui repensar i resignificar les seves experiències.

Impacte d'un programa d'informació sobre l'elaboració del document de voluntats anticipades

Tot i que en el nostre territori comptem des de els anys 80 amb diferents models de Document de Voluntats Anticipades (DVA), aquests continuen essent desconeguts tant per la ciutadania com pels professionals de la salut. Aquesta situació ha fet que ens plantegem com a objectiu d’aquest estudi descriure si existeix la correlació entre el fet de proporcionar informació sobre el DVA i la motivació per la seva realització. En aquest estudi hem agafat com a mostra els usuaris del servei de psicogeriatria de la Fundació Sociosanitaria de Manresa l’Hospital de Sant Andreu de Manresa, tenint en compte les recomanacions del Document Sitges del 2005 i d’altres autors que recomanen fer el DVA en situació de demència lleu o moderada. També s’ha tingut present l’elevada prevalença d’aquesta patologia. S'ha dissenyat un assaig clínic comunitari amb aleatorització de dos consultoris d'un servei de psicogeriatria. Els metges del consultori assignat al grup control feien el tractament habitual en relació al DVA, és a dir, no informar els pacients atesos sobre l'existència i característiques del DVA, i els metges del consultori assignat al grup intervenció donaven informació reglada als seus pacients sobre el DVA. En el moment de la inclusió es registrava informació sociodemogràfica i clínica per poder classificar els participants i, també a tots els subjectes inclosos en l'assaig, al cap de tres setmanes se'ls feia una enquesta telefònica per avaluar l'opinió i el coneixement sobre el DVA. De les respostes de l’enquesta podem extreure com a resultats que més del 90% dels subjectes del grup control no coneixen el DVA. També s’observa de manera significativa com les persones del grup intervenció parlen amb el metge,la infermera i/o la família sobre la dependència i la mort, tenint en compte que la mort i la dependència continuen sent un tema tabú, i que la majoria de la població de l’estudi no planifiquen com volen ser atesos. Tanmateix s’observa com un 2’3 % tenia fet el DVA i un 22’7% manifesten la seva voluntat de realitzar-lo. Amb aquest estudi es conclou que el fet de proporcionar informació sobre el DVA als usuaris del servei de psicogeriatria afavoreix que aquests estiguin motivats per la realització d’aquest document; al mateix temps també afavoreix la planificació de les cures i el parlar sobres temes com la mort i/o la dependència amb la família, el metge la infermera.