The visual analysis of geographically referenced datasets with a large number of attributes is challenging due to the fact that the characteristics of the attributes are highly dependent upon the locations at which they are focussed and the scale at which they are measured. Here, we develop attribute signatures – interactively crafted graphics that show the geographic variability of statistics ...

In decision-making involving multiple criteria or attributes, the attributes are often divided into core and non-core attributes. A dominance principle is formulated in terms of core attributes, and this principle is applied whenever it is applicable. If, however, the dominance principle defined in terms of core attributes is not applicable, then non-core attributes are consulted in comparing o...

We introduce a method for improving facial attribute predictions using other attributes. In the domain of face recognition and verification, attributes are high-level descriptions of face images. Attributes are very useful for identification as well as image search as they provide easily understandable descriptions of faces, rather than most other image descriptors (i.e. HOG, LBP, and SIFT). A ...