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IJCAI
1997
15 years 8 months ago
Extracting Propositions from Trained Neural Networks
This paper presents an algorithm for extract­ ing propositions from trained neural networks. The algorithm is a decompositional approach which can be applied to any neural networ...
Hiroshi Tsukimoto
CVGIP
2007
136views more  CVGIP 2007»
15 years 6 months ago
Contour-based surface reconstruction using MPU implicit models
This paper presents a technique for creating a smooth, closed surface from a set of 2D contours, which have been extracted from a 3D scan. The technique interprets the pixels that...
Ilya Braude, Jeffrey Marker, Ken Museth, Jonathan ...
JPDC
2007
138views more  JPDC 2007»
15 years 6 months ago
Distributed computation of the knn graph for large high-dimensional point sets
High-dimensional problems arising from robot motion planning, biology, data mining, and geographic information systems often require the computation of k nearest neighbor (knn) gr...
Erion Plaku, Lydia E. Kavraki
FOCS
2010
IEEE
15 years 4 months ago
The Limits of Two-Party Differential Privacy
We study differential privacy in a distributed setting where two parties would like to perform analysis of their joint data while preserving privacy for both datasets. Our results ...
Andrew McGregor, Ilya Mironov, Toniann Pitassi, Om...
SECON
2010
IEEE
15 years 4 months ago
Transmission Scheduling for Routing Paths in Cognitive Radio Mesh Networks
Nodes in a cognitive radio mesh network may select from a set of available channels to use provided they do not interfere with primary users. This ability can improve overall netwo...
Brendan Mumey, Xia Zhao, Jian Tang, Richard S. Wol...