We present an object recognition system based on the Dynamic Link Architecture, which is an extension to classical Artificial Neural Networks. The Dynamic Link Architecture ex-ploits correlations in the fine-scale temporal structure of cellular signals in order to group neurons dynamically

. This dissertation aims to provide efficient models for the measured RSS and use the lessons learned from these models to develop and evaluate efficient localization algorithms. The first contribution of this dissertation is to model the correlation in shadowing across link pairs. We propose a non-site specific

X passes to its parent U; is given by: and the message X sends to its child Y j is given by: k;Cj For noisy-or links between parents and children, there exists an analytic expression for 1r( x) and Ax ( u;) that avoids the exhaustive enumeration over parent config urations We made a slight

Numerous studies show that happy individuals are successful across multiple life domains, including marriage, friendship, income, work performance, and health. The authors suggest a conceptual model to account for these findings, arguing that the happiness–success link exists not only because

trade links tend to have more tightly correlated business cycles. It follows that countries are more likely to satisfy the criteria for entry into a currency

In wireless mobile networks, energy can be saved by using dynamic transmission scheduling with pre-knowledge about channel conditions. Such pre-knowledge can be obtained via profiling as proposed by several existing systems which as-sumed that the existence of spatial link correlation makes

-to-reader propagation links – i.e., link correlation. This paper shows that backscatter radio systems using co-located reader transmitter and receiver antennas and a single RF transponder antenna can have the highest link correlation which results in the worst communication performance. It is shown that using separate

In this paper, we examine the increase in relative wages for skilled workers in Mexico during the 1980s. Rising wage inequality in Mexico is linked to foreign capital inflows. We study the impact of foreign direct investment (FDI) on the skilled labor share of wages in Mexico over 1975–1988. We

In many supervised learning tasks, the entities to be labeled are related to each other in complex ways and their labels are not independent. For example, in hypertext classification, the labels of linked pages are highly correlated. A standard approach is to classify each entity independently

Although schooling and earnings are highly correlated, social scientists have argued for decades over the causal effect of education. A convincing analysis of the causal link between education and earnings requires an exogenous source of variation in education outcomes. This paper explores the use