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1,483
On the kinematic deconvolution of the local neighbourhood luminosity function
, 2008
"... A method for inverting the statistical star counts equation, including proper motions, is presented; in order to break the degeneracy in that equation it uses the supplementary constraints required by dynamical consistency. The inversion gives access to both the kinematics and the luminosity functio ..."
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function of each population in three régimes: the singular ellipsoid, the constant ratio Schwarzschild ellipsoid plane parallel models and the epicyclic model. This more realistic model is taylored to account for local neighbourhood density and velocity distribution. The first model is fully investigated
Local Neighbourhood Extension of SMOTE for Mining Imbalanced Data
"... Abstract—In this paper we discuss problems of inducing classifiers from imbalanced data and improving recognition of minority class using focused resampling techniques. We are particularly interested in SMOTE over-sampling method that generates new synthetic examples from the minority class between ..."
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Cited by 6 (2 self)
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the local neighbourhood of the considered examples. In the experiments we compare this method with original SMOTE and its two, the most related, other generalizations Borderline and Safe-Level SMOTE. All these pre-processing methods are applied together with either decision tree or Naive Bayes classifiers
An affine invariant interest point detector
- In Proceedings of the 7th European Conference on Computer Vision
, 2002
"... Abstract. This paper presents a novel approach for detecting affine invariant interest points. Our method can deal with significant affine transformations including large scale changes. Such transformations introduce significant changes in the point location as well as in the scale and the shape of ..."
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Cited by 1467 (55 self)
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of the neighbourhood of an interest point. Our approach allows to solve for these problems simultaneously. It is based on three key ideas: 1) The second moment matrix computed in a point can be used to normalize a region in an affine invariant way (skew and stretch). 2) The scale of the local structure is indicated
Research Article The Influence of the Local Neighbourhood Environment on Walking Levels during the Walking for Wellbeing in the West Pedometer-Based Community Intervention
"... Copyright © 2012 L. B. Robertson et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. We investigated the relationship between walk ..."
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walking levels and the local neighbourhood physical environment during the Walking for Wellbeing in the West (WWW) randomised pedometer-based community intervention. Walking activity was recorded as
Warwickshire Police Force THE IMPACT AND APPLICATION OF CRIMINAL NETWORKS THEORY IN LOCAL NEIGHBOURHOODS, AND ITS RELATIONSHIP WITH LOCAL, NATIONAL AND INTERNATIONAL
"... This article attempts to explain how combining some of the recent thinking about organised criminal networks, street gangs and confidential intelligence with local problem-solving ini-tiatives offers an integrated solution to tackling the harm caused by criminals in communities. It does not claim to ..."
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This article attempts to explain how combining some of the recent thinking about organised criminal networks, street gangs and confidential intelligence with local problem-solving ini-tiatives offers an integrated solution to tackling the harm caused by criminals in communities. It does not claim
CMPO Working Paper Series No. 04/099 Local neighbourhood and mental health: evidence from the UK
, 2004
"... Using a very local definition of neighbourhood, and characterising that neighbourhood along five relatively orthogonal dimensions based on the socioeconomic characteristics of the population of the neighbourhood, this paper examines the association between neighbourhood and levels and changes in men ..."
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Using a very local definition of neighbourhood, and characterising that neighbourhood along five relatively orthogonal dimensions based on the socioeconomic characteristics of the population of the neighbourhood, this paper examines the association between neighbourhood and levels and changes
Social Interactions, Local Spillovers and Unemployment
- REVIEW OF ECONOMIC STUDIES
, 2001
"... I analyse a model that explicitly incorporates local interactions and allows agents to exchange information about job openings within their social networks. Agents are more likely to be employed if their social contacts are also employed. The model generates a stationary distribution of unemployment ..."
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Cited by 255 (10 self)
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I analyse a model that explicitly incorporates local interactions and allows agents to exchange information about job openings within their social networks. Agents are more likely to be employed if their social contacts are also employed. The model generates a stationary distribution
Using Constraint Programming and Local Search Methods to Solve Vehicle Routing Problems
, 1998
"... We use a local search method we term Large Neighbourhood Search (LNS) for solving vehicle routing problems. LNS meshes well with constraint programming technology and is analogous to the shuffling technique of job-shop scheduling. The technique explores a large neighbourhood of the current solution ..."
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Cited by 212 (2 self)
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We use a local search method we term Large Neighbourhood Search (LNS) for solving vehicle routing problems. LNS meshes well with constraint programming technology and is analogous to the shuffling technique of job-shop scheduling. The technique explores a large neighbourhood of the current solution
Neighbourhoods, Households and Income Dynamics: A semi-parametric investigation of Neighbourhood Effects
, 2004
"... Using a unique dataset, we present evidence on income trajectories of people living in micro neighbourhoods. We place bounds on the influence of neighbourhood making as few parametric assumptions as possible. The paper offers a number of advances. We exploit a dataset that is large, representative, ..."
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Cited by 26 (1 self)
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, longitudinal with very local neighbourhoods. We analyse income growth over one, fiveand ten-year windows. We analyse the whole distribution of income growth and track large gainers and losers as well as average outcomes. We consider the appropriate definition of neighbourhood. We find little evidence of a
Results 1 - 10
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