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» On Generating Random Network Structures: Connected Graphs
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ICRA
2008
IEEE
208views Robotics» more  ICRA 2008»
15 years 7 months ago
Unsupervised body scheme learning through self-perception
— In this paper, we present an approach allowing a robot to learn a generative model of its own physical body from scratch using self-perception with a single monocular camera. O...
Jürgen Sturm, Christian Plagemann, Wolfram Bu...
112
Voted
SODA
1998
ACM
157views Algorithms» more  SODA 1998»
15 years 1 months ago
A Polynomial Time Approximation Scheme for Minimum Routing Cost Spanning Trees
Given an undirected graph with nonnegative costs on the edges, the routing cost of any of its spanning trees is the sum over all pairs of vertices of the cost of the path between t...
Bang Ye Wu, Giuseppe Lancia, Vineet Bafna, Kun-Mao...
SAC
2005
ACM
15 years 6 months ago
Graphical rule-based representation of signal-transduction networks
The process by which a cell senses and responds to its environment, as in signal transduction, is often mediated by a network of protein-protein interactions, in which proteins co...
James R. Faeder, Michael L. Blinov, William S. Hla...
PODC
1990
ACM
15 years 4 months ago
Sharing Memory Robustly in Message-Passing Systems
Emulators that translate algorithms from the shared-memory model to two different message-passing models are presented. Both are achieved by implementing a wait-free, atomic, singl...
Hagit Attiya, Amotz Bar-Noy, Danny Dolev
CORR
2007
Springer
144views Education» more  CORR 2007»
15 years 13 days ago
Distributing the Kalman Filter for Large-Scale Systems
This paper derives a near optimal distributed Kalman filter to estimate a large-scale random field monitored by a network of N sensors. The field is described by a sparsely con...
Usman A. Khan, José M. F. Moura