In this paper, we present the supervised multi-view canonical correlation analysis ensemble (SMVCCAE) and its semi-supervised version (SSMVCCAE), which are novel techniques designed to address heterogeneous domain adaptation problems, i.e., situations in which the data to be processed and recognized are collected from different heterogeneous domains. Specifically, the multi-view canonical corre...

corporate governance is the system by which corporations are directed and controlled. corporate governance also provides the structure through which company objectives are established, the means to achieve these objectives, and how to monitor their performance. icts have the potential to make organization and its services more transparent by providing easy access to information. this research a...

It is widely argued that declining fertility slows the pace of economic growth through its negative effect on labor supply. There are, however, theoretical arguments suggesting that the effect of falling fertility on effective labor supply can be offset by the associated behavioral changes. We formalize these arguments by setting forth a dynamic consumer optimization model that incorporates end...

It is widely argued that declining fertility slows the pace of economic growth through its negative effect on labor supply. There are, however, theoretical arguments suggesting that the effect of falling fertility on effective labor supply can be offset by the associated behavioral changes. We formalize these arguments by setting forth a dynamic consumer optimization model that incorporates end...

We generalize a trade model with firm-specific heterogeneity and R&D-based growth to allow for an endogenous education decision of households and an endogenously evolving population. Our framework is able to explain cross-country differences in living standards and trade intensities by the differential pace of human capital accumulation among industrialized countries. Consistent with the empiri...

Multimodal recognition is an emerging technique to overcome the non-robustness of the unimodal recognition in real applications. Canonical correlation analysis (CCA) has been employed as a powerful tool for feature fusion in the realization of such multimodal system. However, CCA is the unsupervised feature extraction and it does not utilize the class information of the samples, resulting in th...