90 resultados para Weighted shift


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Sparse representation based visual tracking approaches have attracted increasing interests in the community in recent years. The main idea is to linearly represent each target candidate using a set of target and trivial templates while imposing a sparsity constraint onto the representation coefficients. After we obtain the coefficients using L1-norm minimization methods, the candidate with the lowest error, when it is reconstructed using only the target templates and the associated coefficients, is considered as the tracking result. In spite of promising system performance widely reported, it is unclear if the performance of these trackers can be maximised. In addition, computational complexity caused by the dimensionality of the feature space limits these algorithms in real-time applications. In this paper, we propose a real-time visual tracking method based on structurally random projection and weighted least squares techniques. In particular, to enhance the discriminative capability of the tracker, we introduce background templates to the linear representation framework. To handle appearance variations over time, we relax the sparsity constraint using a weighed least squares (WLS) method to obtain the representation coefficients. To further reduce the computational complexity, structurally random projection is used to reduce the dimensionality of the feature space while preserving the pairwise distances between the data points in the feature space. Experimental results show that the proposed approach outperforms several state-of-the-art tracking methods.

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Real-world graphs or networks tend to exhibit a well-known set of properties, such as heavy-tailed degree distributions, clustering and community formation. Much effort has been directed into creating realistic and tractable models for unlabelled graphs, which has yielded insights into graph structure and evolution. Recently, attention has moved to creating models for labelled graphs: many real-world graphs are labelled with both discrete and numeric attributes. In this paper, we presentAgwan (Attribute Graphs: Weighted and Numeric), a generative model for random graphs with discrete labels and weighted edges. The model is easily generalised to edges labelled with an arbitrary number of numeric attributes. We include algorithms for fitting the parameters of the Agwanmodel to real-world graphs and for generating random graphs from the model. Using real-world directed and undirected graphs as input, we compare our approach to state-of-the-art random labelled graph generators and draw conclusions about the contribution of discrete vertex labels and edge weights to graph structure.

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The melting of high-latitude permafrost peatlands is a major concern due to a potential positive feedback on global climate change. We examine the ecology of testate amoebae in permafrost peatlands, based on sites in Sweden (~ 200 km north of the Arctic Circle). Multivariate statistical analysis confirms that water-table depth and moisture content are the dominant controls on the distribution of testate amoebae, corroborating the results from studies in mid-latitude peatlands. We present a new testate amoeba-based water table transfer function and thoroughly test it for the effects of spatial autocorrelation, clustered sampling design and uneven sampling gradients. We find that the transfer function has good predictive power; the best-performing model is based on tolerance-downweighted weighted averaging with inverse deshrinking (performance statistics with leave-one-out cross validation: R2 = 0.87, RMSEP = 5.25 cm). The new transfer function was applied to a short core from Stordalen mire, and reveals a major shift in peatland ecohydrology coincident with the onset of the Little Ice Age (c. AD 1400). We also applied the model to an independent contemporary dataset from Stordalen and find that it outperforms predictions based on other published transfer functions. The new transfer function will enable palaeohydrological reconstruction from permafrost peatlands in Northern Europe, thereby permitting greatly improved understanding of the long-term ecohydrological dynamics of these important carbon stores as well as their responses to recent climate change.

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Tropical peatlands represent globally important carbon sinks with a unique biodiversity and are currently threatened by climate change and human activities. It is now imperative that proxy methods are developed to understand the ecohydrological dynamics of these systems and for testing peatland development models. Testate amoebae have been used as environmental indicators in ecological and palaeoecological studies of peatlands, primarily in ombrotrophic Sphagnum-dominated peatlands in the mid- and high-latitudes. We present the first ecological analysis of testate amoebae in a tropical peatland, a nutrient-poor domed bog in western (Peruvian) Amazonia. Litter samples were collected from different hydrological microforms (hummock to pool) along a transect from the edge to the interior of the peatland. We recorded 47 taxa from 21 genera. The most common taxa are Cryptodifflugia oviformis, Euglypha rotunda type, Phryganella acropodia, Pseudodifflugia fulva type and Trinema lineare. One species found only in the southern hemisphere, Argynnia spicata, is present. Arcella spp., Centropyxis aculeata and Lesqueresia spiralis are indicators of pools containing standing water. Canonical correspondence analysis and non-metric multidimensional scaling illustrate that water table depth is a significant control on the distribution of testate amoebae, similar to the results from mid- and high-latitude peatlands. A transfer function model for water table based on weighted averaging partial least-squares (WAPLS) regression is presented and performs well under cross-validation (r 2apparent=0.76,RMSE=4.29;r2jack=0.68,RMSEP=5.18. The transfer function was applied to a 1-m peat core, and sample-specific reconstruction errors were generated using bootstrapping. The reconstruction generally suggests near-surface water tables over the last 3,000 years, with a shift to drier conditions at c. cal. 1218-1273 AD

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A spectroscopic study of the He-alpha (1s(2) S-1(0) - 1s2p P-1(1)) line emission (4749.73 eV) from high density plasma was conducted. The plasma was produced by irradiating Ti targets with intense (I approximate to 1x10(19) W/cm(2)), 400nm wavelength high contrast, short (45fs) p-polarized laser pulses at an angle of 45 degrees. A line shift up to 3.4 +/- 1.0 eV (1.9 +/- 0.55 m angstrom) was observed in the He-alpha line. The line width of the resonance line at FWHM was measured to be 12.1 +/- 0.6 eV (6.7 +/- 0.35 m angstrom). For comparison, we looked into the emission of the same spectral line from plasma produced by irradiating the same target with laser pulses of reduced intensities (approximate to 10(17) W/cm(2)): we observed a spectral shift of only 1.8 +/- 1.0 eV (0.9 +/- 0.55m angstrom) and the line-width measures up to 5.8 +/- 0.25 eV (2.7 +/- 0.35 m angstrom). These data provide evidence of plasma polarization shift of the Ti He-alpha line.

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We perform DFT calculations to investigate the redox and formate mechanisms of water-gas-shift (WGS) reaction on Au/CeO2 catalysts. In the redox mechanism, we analyze all the key elementary steps and find that the OH cleavage is the key step. Three possible pathways of OH cleavage are calculated: (1) OHad '' + *'--> H-ad' + O-ad"; (2) H-ad' + OHad '' --> H-2(g) + O-ad '' + *'; and (3) OHad" + OHad '' --> 2O(ad '') + H-2(g) (*': the free adsorption sites on the oxides; ad': adsorption on the metal; ad": adsorption on the oxide, respectively). In the formate mechanism, we identify all the possible pathways for the formation and decomposition of surface formates in the WGS reaction. It is found that there is a shortcoming in the redox and formate mechanisms which is related to surface oxygen reproduction. Four possible pathways for producing surface oxygen are studied, and all the barriers of the four pathways are more than 1 eV. Our results suggest that the processes to reproduce surface oxygen in the reaction circle are not kinetically easy. (C) 2008 Elsevier B.V. All rights reserved.

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New Irish speakers in Belfast play a crucial, complex part in the revitalization and change of both the city and Irish within Northern Ireland. This paper examines the role of new Irish speakers in transforming Belfast, whose emergence from a post-conflict period involves a reassessment of communal cultural expressions. Markers of ethno-national identity are bitterly contentious locally, and yet increasingly celebrated, in line with international trends, as high status cultural forms and potentially profitable tourist attractions. Irish in Belfast currently occupies an ambiguous position: divisive enough for a sign reading ‘Happy Christmas’ in Irish to be experienced as an insult by some city councillors, yet a secure enough part of the establishment for a neighbourhood to be officially rebranded as the Gaeltacht Quarter.
When, how and where new Irish speakers use the language in Belfast has implications for the relationship of Irishness to the Northern Irish state and for the place of Belfast within regional frameworks across the UK, Ireland and Europe. Adult learners and young people exiting Irish medium education have an impact on life in Belfast beyond its small population of Irish speakers. Urbanisation fuelled by new speakers, which shifts the balance of Irish language resources and speakers away from traditional rural Gaeltacht areas and towards cities, also has implications for the language itself. Recent increase in new Irish speakers in Belfast is due to expansion in the Irish-medium sector as well as to adult learners, whose decisions contribute to the school expansion.
Urbanisation, multilingualism and intergenerational shift combine in Belfast to produce new linguistic norms. Moreover, in a minority language community where hierarchies of ‘authenticity’ are weighted towards the rural and the native speaker, where the rural and the native have traditionally been conflated, and where indigeneity is a central concept to contested nationalisms, the emergence of a self-confident, youthful Irish speaking community in Northern Ireland’s biggest city involves a recalibration of the qualities signifying ‘gaelicness’. As students, professionals, hobbyists and activists, new Irish speakers in Belfast occupy a vital position at the crux of changing ideas about place, language and identity.

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Drawing on insights from a range of disciplines, including philosophy, psychology, history, politics, but particularly sociology and sociological theory, this thesis explores the relationship between emotions and social change in late or 'liquid' modernity. It deploys the Republic of Ireland in the twentieth century as a case study. It argues that the Irish case in an ideal site for this research given the speed and scale of changes that have occurred there, particularly since the 1950's. The primary research question guiding the study is: What has been the effect of 'social change' in Ireland on the emotional lives of Irish people? The thesis is structured in three parts. Part one (chapters one to three) is primarily theoretical. It aims to develop a distinctive theoretical framework, process-relational realism, and argues that three concepts, properly treated, are central to answering the research question. These are emotion, power and (emotional) habitus. Part two is a bridging chapter, in which the empirical portion of the study, its design and method, are outlined. This study is based on a series of qualitative life-history interviews conducted using the Biographical Narrative Research Method. Part three is primarily empirical. The first chapter critically explores Bauman's concept of liquid modernity in relation to the Irish case and offers a short social history of the Irish twentieth century, which focuses on emotions and power. The second deploys two (ideal-type) interview cases to support the argument that Ireland experienced a habitus shift, from a relatively homogeneous to a heterogeneous habitus, and a corresponding shift from a relatively repressive emotional regime to a more expressive one, with significant effects on the emotional habitus. The final chapter takes a broader view of these changes, suggests that social change has been ambivalent, and outlines a new typology of emotional pathologies that the study suggests are characteristic of contemporary emotional life.

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Generative algorithms for random graphs have yielded insights into the structure and evolution of real-world networks. Most networks exhibit a well-known set of properties, such as heavy-tailed degree distributions, clustering and community formation. Usually, random graph models consider only structural information, but many real-world networks also have labelled vertices and weighted edges. In this paper, we present a generative model for random graphs with discrete vertex labels and numeric edge weights. The weights are represented as a set of Beta Mixture Models (BMMs) with an arbitrary number of mixtures, which are learned from real-world networks. We propose a Bayesian Variational Inference (VI) approach, which yields an accurate estimation while keeping computation times tractable. We compare our approach to state-of-the-art random labelled graph generators and an earlier approach based on Gaussian Mixture Models (GMMs). Our results allow us to draw conclusions about the contribution of vertex labels and edge weights to graph structure.