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JCB
2006
91views more  JCB 2006»
13 years 7 months ago
Reverse Engineering Discrete Dynamical Systems from Data Sets with Random Input Vectors
Recently a new algorithm for reverse engineering of biochemical networks was developed by Laubenbacher and Stigler. It is based on methods from computational algebra and finds mos...
Winfried Just
CRV
2011
IEEE
309views Robotics» more  CRV 2011»
12 years 7 months ago
Optimal Alignment of 3D Data for Spatial Discretization
—We present an algorithm that finds the rotation which best aligns a given configuration of directions on an unsorted set of directions. Using a cost function that we derive in...
Benjamin Huhle, Timo Schairer, Andreas Schilling, ...
IDEAS
2003
IEEE
86views Database» more  IDEAS 2003»
14 years 27 days ago
A Medium Complexity Discrete Model for Uncertain Spatial Data
This paper presents a method for representing uncertainty in spatial data in a database. The model presented requires moderate amounts of storage space. To compute the probability...
Erlend Tøssebro, Mads Nygård
SIGIR
2004
ACM
14 years 1 months ago
GaP: a factor model for discrete data
We present a probabilistic model for a document corpus that combines many of the desirable features of previous models. The model is called “GaP” for Gamma-Poisson, the distri...
John F. Canny
VR
2009
IEEE
145views Virtual Reality» more  VR 2009»
14 years 2 months ago
Virtualized Traffic: Reconstructing Traffic Flows from Discrete Spatio-Temporal Data
Jur P. van den Berg, Jason Sewall, Ming C. Lin, Di...