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Johannes Peter Hölzinger
Johannes Peter Hölzinger studied architecture at the Städelschule in Frankfurt am Main from 1954 to 1957. After a residency fellowship at the Deut-sche Akademie Villa Massimo in Rome he founded a "planning association for new forms of the environment" in 1965 together with Zero artist Hermann Goepfert, who has since died. One of the most successful results of his work with Goepfert was a new design for the Schloßpark in Karlsruhe on the occasion of the Bundesgar-tenschau in 1967, which won a major German architectural prize, the Hugo-Häring-Preis. From 1991 until his retirement in 2002 Hölzinger directed the art and public-space course at the Aka-demie der bildenden Künste in Nuremberg...
Synthese Des Arts
Text in English and German. Linking art and architecture is one of the great Utopias of our century. Art has been released from its traditional bonds and sees itself faced with a world that has made systems independent to the extent that a link between art and building based on the idea of unity is no longer admissible. The collapse of our 'world into pieces' also typifies that situation of the arts looking for new orders. Now artist-architect Johannes Peter Holzinger, in co-operation with artists Eberhard Fiebig, Ottmar Horl/Formalhaut, Leonardo Mosso, Norbert Muller-Everling, Ansgar Nierhoff and Andreas Sobeck, working on the government buildings on the Hardthohe in Bonn, has succeeded in ...
Johannes Peter Hölzinger
This private house with office is abviously a built manifesto demonstrating precise agreement between internal and external geometry and eliminating the antihesis between elevation and ground plan.
Restaurant Architecture and Design
Title from screen.
Avery Index to Architectural Periodicals
Indexes more than 1,000 periodicals published worldwide on archaeology, city planning, interior design, and historic preservation, as well as architecture.
Towards Integrative Machine Learning and Knowledge Extraction
The BIRS Workshop “Advances in Interactive Knowledge Discovery and Data Mining in Complex and Big Data Sets” (15w2181), held in July 2015 in Banff, Canada, was dedicated to stimulating a cross-domain integrative machine-learning approach and appraisal of “hot topics” toward tackling the grand challenge of reaching a level of useful and useable computational intelligence with a focus on real-world problems, such as in the health domain. This encompasses learning from prior data, extracting and discovering knowledge, generalizing the results, fighting the curse of dimensionality, and ultimately disentangling the underlying explanatory factors in complex data, i.e., to make sense of data within the context of the application domain. The workshop aimed to contribute advancements in promising novel areas such as at the intersection of machine learning and topological data analysis. History has shown that most often the overlapping areas at intersections of seemingly disparate fields are key for the stimulation of new insights and further advances. This is particularly true for the extremely broad field of machine learning.
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