Deep Multi-view Subspace Clustering is a powerful unsupervised learning technique for clustering multi-view data, which has achieved significant attention during recent decades. However, most current methods rely on self-expressive layers to obtain the ultimate results, where size of matrix increases quadratically with number input data points, making it difficult handle large-scale datasets. M...

With this study we wanted to test the hypothesis that individual like and dislike as occurring in relation to brand attitude can be objectively assessed. First, individuals rated common brands with respect to subjective preference. Then, they volunteered in an experiment during which their most liked and disliked brand names were visually presented while three different objective measures were ...

Two conditions consistency levels of purchase for specific brand over the span of time imply on brand loyalty. The most precious asset of an organization as there is neck to neck competition in the market and it is essential for the survival of companies. Aims of this research are basically to spot what kinds of factors influence brand loyalty in Pakistan. Six preceding factors influence the co...

During previous Task 2.1, we have developed the notions of self-expression and different levels of computational self-awareness, inspired by corresponding psychological levels. In the context of architecture, we refer to the self-expression and different levels of computational self-awareness as capability of the systems to obtain and react upon certain knowledge. In this report, we study the c...

This chapter covers a reference architecture for describing and engineering computational self-awareness and self-expression in computing systems. The architecture provides a common language with which to engineer the capabilities exercised by a “self” at a fine resolution inspired by concepts from psychology. The “self” demarked by the reference architecture is conceptual in nature, and theref...