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WSCG
2003
193views more  WSCG 2003»
15 years 7 months ago
Automatically Generating Roof Models from Building Footprints
Modelling Large Urban Environments using traditional modelling techniques would prove too time consuming a process. Consequently a method is required for generating large urban en...
R. G. Laycock, A. M. Day
IJCAI
1993
15 years 7 months ago
A New Algorithm for Incremental Prime Implicate Generation
Traditional algorithms for prime implicate generation [Quine, 1952; McCluskey, 1956; Tison, 1967; Kean and Tsiknis, 1990; de Kleer, 1992] require the input formulas to be first tr...
Teow-Hin Ngair
ATAL
2010
Springer
15 years 7 months ago
Capturing and generating social behavior with the restaurant game
The Restaurant Game demonstrates an end-to-end system that captures and generates social behavior for virtual agents. Over 15,000 people have played The Restaurant Game, and we ha...
Jeff Orkin, Deb K. Roy
DKE
2008
135views more  DKE 2008»
15 years 6 months ago
Analyzing interacting WS-BPEL processes using flexible model generation
We address the problem of analyzing the interaction between WS-BPEL processes. We present a technology chain that starts out with a WS-BPEL process and translates it into a Petri ...
Niels Lohmann, Peter Massuthe, Christian Stahl, Da...
NECO
1998
116views more  NECO 1998»
15 years 6 months ago
GTM: The Generative Topographic Mapping
Latent variable models represent the probability density of data in a space of several dimensions in terms of a smaller number of latent, or hidden, variables. A familiar example ...
Christopher M. Bishop, Markus Svensén, Chri...