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IJCNN
2006
IEEE
16 years 20 days ago
In-Place Learning for Positional and Scale Invariance
— In-place learning is a biologically inspired concept, meaning that the computational network is responsible for its own learning. With in-place learning, there is no need for a...
Juyang Weng, Hong Lu, Tianyu Luwang, Xiangyang Xue
BVAI
2005
Springer
16 years 5 days ago
Learning Location Invariance for Object Recognition and Localization
A visual system not only needs to recognize a stimulus, it also needs to find the location of the stimulus. In this paper, we present a neural network model that is able to genera...
Gwendid T. van der Voort van der Kleij, Frank van ...
IWANN
2009
Springer
16 years 1 months ago
Introducing a Distributed Architecture for Heterogeneous Wireless Sensor Networks
This paper presents SYLPH, a novel distributed architecture which integrates a service-oriented approach into Wireless Sensor Networks. One of the characteristics of SYLPH is that ...
Dante I. Tapia, Ricardo S. Alonso, Juan Francisco ...
WOWMOM
2009
ACM
167views Multimedia» more  WOWMOM 2009»
16 years 1 months ago
Bio-inspired link quality estimation for wireless mesh networks
—In this paper, the problem of estimating the link quality in mesh networks has been considered. Such a process is a major task to develop an efficient network layer, since it a...
Marcello Caleffi, Luigi Paura
KES
2005
Springer
16 years 4 days ago
On Self-organising Diagnostics in Impact Sensing Networks
Abstract. Structural health management (SHM) of safety-critical structures requires multiple capabilities: sensing, assessment, diagnostics, prognostics, repair, etc. This paper pr...
Mikhail Prokopenko, Peter Wang, Andrew Scott, Vadi...