Revisiting the Normalization Axiom in Poverty Measurement

Multidimensional Poverty Measurement with the Weak Focus Axiom

The present paper defines an axiomatic framework for multidimensional poverty measurement that fits a weak version of the focus axiom and is consistent with Duclos, Sahn, and Younger’s (2006) “well-being” approach of poverty identification. This slackening of the tradtional axiomatic framework is appealing for two reasons. First, regarding the issue of poverty identification, the approach is le...

Measurement of Poverty and Poverty of Measurement

The Focus Axiom and Poverty: On the Co-existence of Precise Language and Ambiguous Meaning in Economic Measurement

Despite the formal rigour that attends social and economic measurement, the substantive meaning of particular measures could be compromised in the absence of a clear and coherent conceptualization of the phenomenon being measured. A case in point is afforded by the status of a ‘focus axiom’ in the measurement of poverty. ‘Focus’ requires that a measure of poverty ought to be sensitive only to c...

THE URYSOHN AXIOM AND THE COMPLETELY HAUSDORFF AXIOM IN L-TOPOLOGICAL SPACES

In this paper, the Urysohn and completely Hausdorff axioms in general topology are generalized to L-topological spaces so as to be compatible with pointwise metrics. Some properties and characterizations are also derived

Revisiting Batch Normalization For Practical Domain Adaptation

Deep neural networks (DNN) have shown unprecedented success in various computer vision applications such as image classification and object detection. However, it is still a common annoyance during the training phase, that one has to prepare at least thousands of labeled images to fine-tune a network to a specific domain. Recent study (Tommasi et al., 2015) shows that a DNN has strong dependenc...