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APPINF
2003
14 years 11 months ago
Preventing Computational Chaos in Asynchronous Neural Networks
One of the primary advantages of artificial neural networks is their inherent ability to perform massively parallel, nonlinear signal processing. However, the asynchronous dynamics...
Jacob Barhen, Vladimir Protopopescu
TSMC
2008
100views more  TSMC 2008»
14 years 9 months ago
Synchronization and State Estimation for Discrete-Time Complex Networks With Distributed Delays
Abstract--In this paper, a synchronization problem is investigated for an array of coupled complex discrete-time networks with the simultaneous presence of both the discrete and di...
Yurong Liu, Zidong Wang, Jinling Liang, Xiaohui Li...
ICRA
2007
IEEE
104views Robotics» more  ICRA 2007»
15 years 4 months ago
Frame-Frame Matching for Realtime Consistent Visual Mapping
Many successful indoor mapping techniques employ frame-to-frame matching of laser scans to produce detailed local maps, as well as closing large loops. In this paper, we propose a ...
Kurt Konolige, Motilal Agrawal
AROBOTS
2006
119views more  AROBOTS 2006»
14 years 10 months ago
A Discussion of Simultaneous Localization and Mapping
This paper aims at a discussion of the structure of the SLAM problem. The analysis is not strictly formal but based both on informal studies and mathematical derivation. The first ...
Udo Frese
NECO
1998
116views more  NECO 1998»
14 years 9 months ago
GTM: The Generative Topographic Mapping
Latent variable models represent the probability density of data in a space of several dimensions in terms of a smaller number of latent, or hidden, variables. A familiar example ...
Christopher M. Bishop, Markus Svensén, Chri...