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» Learning from Highly Structured Data by Decomposition
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AAAI
2004
14 years 11 months ago
Spatial Aggregation for Qualitative Assessment of Scientific Computations
Qualitative assessment of scientific computations is an emerging application area that applies a data-driven approach to characterize, at a high level, phenomena including conditi...
Chris Bailey-Kellogg, Naren Ramakrishnan
INFOCOM
2000
IEEE
15 years 2 months ago
Near Optimal Routing Lookups with Bounded Worst Case Performance
Abstract—The problem of route address lookup has received much attention recently and several algorithms and data structures for performing address lookups at high speeds have be...
Pankaj Gupta, Balaji Prabhakar, Stephen P. Boyd
APPINF
2003
14 years 11 months ago
A Multithreaded Compiler Backend for High-level Array Programming
Whenever large homogeneous data structures need to be processed in a non-trivial way, e.g. in computational sciences, image processing, or system simulation, high-level array prog...
Clemens Grelck
CAD
2005
Springer
14 years 9 months ago
Precise global collision detection in multi-axis NC-machining
We introduce a new approach to the problem of collision detection in multi-axis NC-machining. Due to the directional nature (tool axis) of multi-axis NCmachining, space subdivisio...
Oleg Ilushin, Gershon Elber, Dan Halperin, Ron Wei...
MIDDLEWARE
2010
Springer
14 years 8 months ago
Kevlar: A Flexible Infrastructure for Wide-Area Collaborative Applications
Abstract. While Web Services ensure interoperability and extensibility for networked applications, they also complicate the deployment of highly collaborative systems, such as virt...
Qi Huang, Daniel A. Freedman, Ymir Vigfusson, Ken ...