Splitting Hairs: An exploration of hair, food and sexuality culminating in Hairball Cafe, a witty and surreal photo-media installation. Quality Best
Splitting Hairs: An exploration of hair, food and sexuality culminating in Hairball Cafe, a witty and surreal photo-media installation. Overview
The term ?Splitting hairs' is defined as making superfine, unnecessary, and often ridiculous distinctions. As well as looking in depth at one aspect of hair ? hair in our food and mouth - Pam Kleemann, in her work Splitting Hairs, also identifies and investigates words, descriptive phrases, slang terms and advertising hype that cross the boundaries between hair, food and sex. It also touches on pornography, taboos, fetishism and cannibalism. Each chapter is titled using hair phraseology or word play to identify and highlight the focus of the chapter, and to link it back to the overall concept of ?splitting hairs'.
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There is a wide variety of Urban Growth models all of which pose limitations to their computational application. In this book, a modeling framework is described that is open and adaptable to the user’s requirements, easy to use and resilient to the case study limitations. The CaFe model (Cellular Automata - Fuzzy Engine) applies an innovative workflow to connect the input and the output variables. All input variables are merged in a single thematic layer using the Sensitive Sum operator. It is a new fuzzy operator that employs a dynamic parallel connection between the input variables while taking into account their statistical correlation. As a result, the model does not require certain variables/data to run while it implements a reducible/extensible form of Knowledge Base which can include both data-driven and empirical rules. The simulation engine incorporates advanced Cellular Automata techniques which apply spatio-temporal multi-radius transition functions and support action in distance. CaFe is applied in Athens – Greece and simulates urban growth efficinetly while scoring high fitting indicators and retaining a stable average error.
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*** Product Information and Prices Stored: Dec 02, 2011 19:25:05