Cumincad : CUMINCAD References : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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	Krizhevsky A and Hinton G (2009) Learning multiple layers of features from tiny images , Toronto, ON: Technical report, University of Toronto/University of Toronto 2009. Steinfeld 237

	Krizhevsky, A, Sutskever, H and Hinton, G (2012) ImageNet Classification with Deep Convolutional Neural Networks , The Conference and Workshop on Neural Information Processing Systems (NIPS), Stateline

	Krizhevsky, A, Sutskever, I and Hinton, G (2012) Imagenet classification with deep convolutional neural networks , NIPS 2012

	Krizhevsky, A, Sutskever, I and Hinton, G. E (2012) ImageNet classification with deep convolutional neural networks , Proceedings of the 25th International Conference on Neural Information Processing Systems (NIPS 2012), p. 1097-1105

	Krizhevsky, A, Sutskever, I and Hinton, G. E. (2012) ImageNet classification with deep convolutional neural networks , Proceedings of the 25th International Conference on Neural Information Processing Systems (NIPS 2012), p. 1097-1105

	Krizhevsky, A., I. Sutskever, and G. Hinton (2012) Imagenet Classification with Deep Convolutional Neural Networks , Advances in Neural Information Processing Systems: 1097–1105

	Krizhevsky, A., Sutskever, I. and Hinton, G. E. (2012) ImageNet classification with deep convolutional neural networks , Proceedings of the 25th International Conference on Neural Information Processing Systems, pp. 1097-1105

	Krizhevsky, A., Sutskever, I. and Hinton, G.E. (2012) Imagenet classification with deep convolutional neural networks , Advances in neural information processing systems, pp. 1097-1105

	Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2012) Imagenet classification with deep convolutional neural networks , Advances in neural information processing systems, 25, 1097-1105

	Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2017) Imagenet Classification with Deep Convolutional Neural Networks , Communications of the ACM, 6 (6), 84-9. doi: 1.1145/365386

	Krogh, P.G. (2000) Interactive Rooms - augmented reality in an architectural perspective , DARE 2000, Elsinore Denmark

	Krogmann, U, Andrews, CJ, Kim, M, Kiss, G and Miflin, C (2007) Water mass balances for the Solaire and the 2020 Tower: Implications for closing the water loop in High-Rise buildings , Journal Of The American Water Resources Association, 43(6), pp. 1414-1423

	Krogsaeter, M., Bruning, I. and Thomas, C.G. (1992) FLEXEL: Adding Flexibility to a Commercially Available Software System , Sankt Augustin: Gesellschaft für Mathematik und Datenverarbeitung mbH

	Kroll, E., Condoor, S.S. & Jansson, D.G. (2004) Innovative Conceptual Design , Cambridge University Press, Cambridge

	Krösl, K., Bauer, D., Schwärzler, M., Fuchs, H., Suter, G. and Wimmer, M. (2018) A VR-based user study on the effects of vision impairments on recognition distances of escape-route signs in buildings , The Visual Computer, 34, pp. 911-923

	Kubicki, S., Guerriero, A., Halin, G. and Hanser, D. (2007) IT services design to support coordination practices in the Luxembourguish AEC sector , CDVE - 4th International Conference on Cooperative Design, Visualization and Engineering

	Kubler, G. (1962) The shape of time: Remarks on the history of things , Yale University Press

	Kudless, A (2012) Bodies in formation: The material evolution of flexible formwork , Borden, G and Meredith, M (eds), Matter: material processes in architectural production, Routledge, pp. 475-488

	Kuehni, R. G. (1997) Color: An Introduction to Practice and Principles , John Wiley & Sons, New York, 1997

	Kulinski, Jaroslaw (1995) An Inspiring Method of Teaching CAAD Programs , B. Colajanni & G. Pellitteri's Multimedia & Architectural Disciplines, the 13th ECAADE Conference

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