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» An Object Model for Interoperable Systems
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ESANN
2007
15 years 6 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
CAD
2004
Springer
15 years 4 months ago
A single solution method for converting 2D assembly drawings to 3D part drawings
Although solid models play a central role in modern CAD systems, 2D CAD systems are still commonly used for designing products without complex curved faces. Therefore, an importan...
Masaji Tanaka, Laurence Anthony, Toshiaki Kaneeda,...
PLDI
2009
ACM
15 years 11 months ago
Laminar: practical fine-grained decentralized information flow control
Decentralized information flow control (DIFC) is a promising model for writing programs with powerful, end-to-end security guarantees. Current DIFC systems that run on commodity ...
Indrajit Roy, Donald E. Porter, Michael D. Bond, K...
RTCSA
2000
IEEE
15 years 8 months ago
Frame packing in real-time communication
A common computational model in distributed embedded systems is that the nodes exchange signals via a network. Most often a signal represents the state of some physical device and...
Kristian Sandström, Christer Norström, M...
INFOCOM
2009
IEEE
15 years 11 months ago
LayerP2P: A New Data Scheduling Approach for Layered Streaming in Heterogeneous Networks
—Although layered streaming in heterogeneous peer-to-peer networks has drawn great interest in recent years, there’s still a lack of systematical studies on its data scheduling...
Xin Xiao, Yuanchun Shi, Yuan Gao, Qian Zhang