96 resultados para Individual Recognition
Resumo:
Tropical cyclones are affected by a large number of climatic factors, which translates into complex patterns of occurrence. The variability of annual metrics of tropical-cyclone activity has been intensively studied, in particular since the sudden activation of the North Atlantic in the mid 1990’s. We provide first a swift overview on previous work by diverse authors about these annual metrics for the North-Atlantic basin, where the natural variability of the phenomenon, the existence of trends, the drawbacks of the records, and the influence of global warming have been the subject of interesting debates. Next, we present an alternative approach that does not focus on seasonal features but on the characteristics of single events [Corral et al., Nature Phys. 6, 693 (2010)]. It is argued that the individual-storm power dissipation index (PDI) constitutes a natural way to describe each event, and further, that the PDI statistics yields a robust law for the occurrence of tropical cyclones in terms of a power law. In this context, methods of fitting these distributions are discussed. As an important extension to this work we introduce a distribution function that models the whole range of the PDI density (excluding incompleteness effects at the smallest values), the gamma distribution, consisting in a powerlaw with an exponential decay at the tail. The characteristic scale of this decay, represented by the cutoff parameter, provides very valuable information on the finiteness size of the basin, via the largest values of the PDIs that the basin can sustain. We use the gamma fit to evaluate the influence of sea surface temperature (SST) on the occurrence of extreme PDI values, for which we find an increase around 50 % in the values of these basin-wide events for a 0.49 C SST average difference. Similar findings are observed for the effects of the positive phase of the Atlantic multidecadal oscillation and the number of hurricanes in a season on the PDI distribution. In the case of the El Niño Southern oscillation (ENSO), positive and negative values of the multivariate ENSO index do not have a significant effect on the PDI distribution; however, when only extreme values of the index are used, it is found that the presence of El Niño decreases the PDI of the most extreme hurricanes.
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The automatic interpretation of conventional traffic signs is very complex and time consuming. The paper concerns an automatic warning system for driving assistance. It does not interpret the standard traffic signs on the roadside; the proposal is to incorporate into the existing signs another type of traffic sign whose information will be more easily interpreted by a processor. The type of information to be added is profuse and therefore the most important object is the robustness of the system. The basic proposal of this new philosophy is that the co-pilot system for automatic warning and driving assistance can interpret with greater ease the information contained in the new sign, whilst the human driver only has to interpret the "classic" sign. One of the codings that has been tested with good results and which seems to us easy to implement is that which has a rectangular shape and 4 vertical bars of different colours. The size of these signs is equivalent to the size of the conventional signs (approximately 0.4 m2). The colour information from the sign can be easily interpreted by the proposed processor and the interpretation is much easier and quicker than the information shown by the pictographs of the classic signs
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La tesi doctoral aborda la relació entre coneixement i pràctica en l’àmbit de la pràctica professional dels mestres. Aquest problema s’aborda des de la psicologia històrico-cultural, la qual implica un trencament amb la “racionalitat tècnica” des de la que s’ha abordat el problema tradicionalment. Aquest nou abordatge de la problemàtica implica una considerable elaboració teòrica, que en la tesi es vehicula mitjançant dos constructes fonamentals: la situació i els conceptes pràctics. Les dades de la tesi consisteixen en les converses face-to-face i on-line entre un estudiant de Mestre en pràcticum i el seu tutor en el centre de pràctiques. L’estudi analitza dos casos d’uns quatre mesos de duració cadascun. L’anàlisi es porta a terme mitjançant anàlisi de discurs, utilitzant diverses unitats d’anàlisi i diverses dimensions, les quals fan possible una anàlisi integrada que permeti considerar de manera relacionada l’activitat conjunta (pla social) i l’ús individual de conceptes (pla individual). Els resultats preliminars suggereixen una especificitat estructural i genètica dels conceptes pràctics (en contrast amb els espontanis i científics), i l’existència de mecanismes d’activitat conjunta que potencien especialment el desenvolupament d’aquests conceptes.
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This paper describes a systematic research about free software solutions and techniques for art imagery computer recognition problem.
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Background: Single Nucleotide Polymorphisms, among other type of sequence variants, constitute key elements in genetic epidemiology and pharmacogenomics. While sequence data about genetic variation is found at databases such as dbSNP, clues about the functional and phenotypic consequences of the variations are generally found in biomedical literature. The identification of the relevant documents and the extraction of the information from them are hampered by the large size of literature databases and the lack of widely accepted standard notation for biomedical entities. Thus, automatic systems for the identification of citations of allelic variants of genes in biomedical texts are required. Results: Our group has previously reported the development of OSIRIS, a system aimed at the retrieval of literature about allelic variants of genes http://ibi.imim.es/osirisform.html. Here we describe the development of a new version of OSIRIS (OSIRISv1.2, http://ibi.imim.es/OSIRISv1.2.html webcite) which incorporates a new entity recognition module and is built on top of a local mirror of the MEDLINE collection and HgenetInfoDB: a database that collects data on human gene sequence variations. The new entity recognition module is based on a pattern-based search algorithm for the identification of variation terms in the texts and their mapping to dbSNP identifiers. The performance of OSIRISv1.2 was evaluated on a manually annotated corpus, resulting in 99% precision, 82% recall, and an F-score of 0.89. As an example, the application of the system for collecting literature citations for the allelic variants of genes related to the diseases intracranial aneurysm and breast cancer is presented. Conclusion: OSIRISv1.2 can be used to link literature references to dbSNP database entries with high accuracy, and therefore is suitable for collecting current knowledge on gene sequence variations and supporting the functional annotation of variation databases. The application of OSIRISv1.2 in combination with controlled vocabularies like MeSH provides a way to identify associations of biomedical interest, such as those that relate SNPs with diseases.
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Plan recognition is the problem of inferring the goals and plans of an agent from partial observations of her behavior. Recently, it has been shown that the problem can be formulated and solved usingplanners, reducing plan recognition to plan generation.In this work, we extend this model-basedapproach to plan recognition to the POMDP setting, where actions are stochastic and states are partially observable. The task is to infer a probability distribution over the possible goals of an agent whose behavior results from a POMDP model. The POMDP model is shared between agent and observer except for the true goal of the agent that is hidden to the observer. The observations are action sequences O that may contain gaps as some or even most of the actions done by the agent may not be observed. We show that the posterior goal distribution P(GjO) can be computed from the value function VG(b) over beliefs b generated by the POMDPplanner for each possible goal G. Some extensionsof the basic framework are discussed, and a numberof experiments are reported.
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We offer new evidence on multi-level determinants of the gender division of housework. Using data from the 2004 European Social Survey (ESS) for 26 European, we study the micro and macro-level factors which increase the likelihood of men doing an equal or greater share of housework than their female partners. A sample of 11,915 young men and women is analysed with a multi-level logistic regression in order to test at individual level the classic relative-income, time-availability and gender-role values, and a new couple conflict hypothesis. At individual level we find significant relationships between relative resources, values, couple's disagreement, and the division of housework which support more economic dependency than "doing gender" perspectives. At the macro-level, we find important composition effects and also support for gender empowerment, family model and social stratification explanations of cross-country differences.
Resumo:
This paper investigates the micro and macro-level factors affecting the empirical association between occupational sex-composition and individual earnings. This is done in two analytical steps using data from the second round of the European Social Survey. In a first step, country-fixed-effects regressions are used to test the extent to which job-specialization, gender attitudes and the relative supply of domestic work can account for the impact of occupational sex-composition on earnings. In accordance with previous research, it is found that all these micro-level variables have a significant effect on the analyzed association, yet only job-specialization can explain it away by itself. In a second analytical step, macro-level interactions are tested under the hypothesis that defamilialization policies reduce the pay-offs of sphere specialization by sex, generating incentives for all types of women to invest in the labor market. Empirical results suggest that gender attitudes and the relative supply of housework are much more loosely associated to earning in social-democratic and former communist societies than in conservative or liberal regimes. This finding is interpreted as consistent with the defamilialization hypothesis.
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Having lived through a bloody civil war in the 1930s followed by four decades of General Franco’s dictatorship, the Spanish state carried out a transition to a democratic system at the end of the 1970s. The 1978 Constitution was the legal outcome of this transition process. Among other things, it established a territorial model – the so-called “Estado de las Autonomías” (State of Autonomous Communities) – which was designed to satisfy the historical demands for recognition and self-government of, above all, the citizens and institutions of Catalonia and the Basque Country .In recent years support for independence has increased in Catalonia. Different indicators show that pro-independence demands are endorsed by a majority of its citizens, as well as by most of the political parties and organizations that represent its civil society. This is a new phenomenon. Those in favour of independence had been in the minority throughout the 20th century. Nowadays, however, demands of a pro-autonomy and pro-federalist nature, which until recently had been dominant, have gradually lost public support in favour of demands for self-determination and secession. This paper analyses the massive increase in support for secession in Catalonia during the early years of the 21st century. After describing the different theories of secession in plurinational liberal democracies (section 1), we analyse Catalonia’s political evolution over the past decade focusing on the shortcomings with regard to constitutional recognition and accommodation displayed by the Spanish political system. The latter have been exacerbated by the reform process of Catalonia’s Statute of Autonomy (2006) and the subsequent judgement of Spain’s Constitutional Court regarding the aforementioned Statute (2010) (section 2). Finally, we present our conclusions by linking the Catalan case with theories of secession applied to plurinational contexts
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We estimate the world distribution of income by integrating individualincome distributions for 125 countries between 1970 and 1998. Weestimate poverty rates and headcounts by integrating the density functionbelow the $1/day and $2/day poverty lines. We find that poverty ratesdecline substantially over the last twenty years. We compute povertyheadcounts and find that the number of one-dollar poor declined by 235million between 1976 and 1998. The number of $2/day poor declined by 450million over the same period. We analyze poverty across different regionsand countries. Asia is a great success, especially after 1980. LatinAmerica reduced poverty substantially in the 1970s but progress stoppedin the 1980s and 1990s. The worst performer was Africa, where povertyrates increased substantially over the last thirty years: the number of$1/day poor in Africa increased by 175 million between 1970 and 1998,and the number of $2/day poor increased by 227. Africa hosted 11% ofthe world s poor in 1960. It hosted 66% of them in 1998. We estimatenine indexes of income inequality implied by our world distribution ofincome. All of them show substantial reductions in global incomeinequality during the 1980s and 1990s.
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Sequential randomized prediction of an arbitrary binary sequence isinvestigated. No assumption is made on the mechanism of generating the bit sequence. The goal of the predictor is to minimize its relative loss, i.e., to make (almost) as few mistakes as the best ``expert'' in a fixed, possibly infinite, set of experts. We point out a surprising connection between this prediction problem and empirical process theory. First, in the special case of static (memoryless) experts, we completely characterize the minimax relative loss in terms of the maximum of an associated Rademacher process. Then we show general upper and lower bounds on the minimaxrelative loss in terms of the geometry of the class of experts. As main examples, we determine the exact order of magnitude of the minimax relative loss for the class of autoregressive linear predictors and for the class of Markov experts.
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In this paper we analyze the sensitivity of the labour market decisions of workers close toretirement with respect to the incentives created by public regulations. We improve upon the extensiveprior literature on the effect of pension incentives on retirement in two ways. First, bymodeling the transitions between employment, unemployment and retirement in a simultaneousmanner, paying special attention to the transition from unemployment to retirement (which is particularlyimportant in Spain). Second, by considering the influence of unobserved heterogeneity inthe estimation of the effect of our (carefully constructed) incentive variables.Using administrative data, we find that, when properly defined, economic incentives have astrong impact on labour market decisions in Spain. Unemployment regulations are shown to be particularlyinfluential for retirement behaviour, along with the more traditional determinants linked tothe pension system. Pension variables also have a major bearing on both workers reemploymentdecisions and on the strategic actions of employers. The quantitative impact of the incentives, however,is greatly affected by the existence of unobserved heterogeneity among workers. Its omissionleads to sizable biases in the assessment of the sensitivity to economic incentives, a finding thathas clear consequences for the credibility of any model-based policy analysis. We confirm theimportance of this potential problem in one especially interesting instance: the reform of earlyretirement provisions undertaken in Spain in 2002. We use a difference-in-difference approach tomeasure the behavioural reaction to this change, finding a large overestimation when unobservedheterogeneity is not taken into account.
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Individual-specific uncertainty may increase the chances of reform beingenacted and sustained. Reform may be more likely to be enacted because amajority of agents might end up losing little from reform and a minoritygaining a lot. Under certainty, reform would therefore be rejected, butit may be enacted with uncertainty because those who end up losing believethat they might be among the winners. Reform may be more likely to besustained because, in a realistic setting, reform will increase theincentives of agents to move into those economic activities that benefit.Agents who respond to these incentives will vote to sustain reform infuture elections, even if they would have rejected reform under certainty.These points are made using the trade-model of Fernandez and Rodrik (AER,1991).
Resumo:
We consider adaptive sequential lossy coding of bounded individual sequences when the performance is measured by the sequentially accumulated mean squared distortion. Theencoder and the decoder are connected via a noiseless channel of capacity $R$ and both are assumed to have zero delay. No probabilistic assumptions are made on how the sequence to be encoded is generated. For any bounded sequence of length $n$, the distortion redundancy is defined as the normalized cumulative distortion of the sequential scheme minus the normalized cumulative distortion of the best scalarquantizer of rate $R$ which is matched to this particular sequence. We demonstrate the existence of a zero-delay sequential scheme which uses common randomization in the encoder and the decoder such that the normalized maximum distortion redundancy converges to zero at a rate $n^{-1/5}\log n$ as the length of the encoded sequence $n$ increases without bound.