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WAPCV
2004
Springer
14 years 1 months ago
Learning of Position-Invariant Object Representation Across Attention Shifts
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
Muhua Li, James J. Clark
VLDB
2006
ACM
207views Database» more  VLDB 2006»
14 years 8 months ago
Modeling and querying moving objects in networks
: Moving Objects Databases have become an important research issue in recent years. For and querying moving objects, there exists a comprehensive framework of abstract data types t...
Ralf Hartmut Güting, Victor Teixeira de Almeida, ...
ICNSC
2007
IEEE
14 years 2 months ago
Improved estimation for object localization via sensor networks
The paper addresses object localization via a distributed sensor network. A centralized estimation approach is undertaken along with a selective node activation strategy to ensure...
Alessio Benavoli, Luigi Chisci
ALGOSENSORS
2007
Springer
14 years 18 days ago
Efficient Sensor Network Design for Continuous Monitoring of Moving Objects
We study the problem of localizing and tracking multiple moving targets in wireless sensor networks, from a network design perspective i.e. towards estimating the least possible n...
Sotiris E. Nikoletseas, Paul G. Spirakis
ICPR
2004
IEEE
14 years 9 months ago
Estimation of the Bayesian Network Architecture for Object Tracking in Video Sequences
It was recently proposed the use of Bayesian networks for object tracking. Bayesian networks allow to model the interaction among detected trajectories, in order to obtain a relia...
Arnaldo J. Abrantes, Jorge S. Marques, Pedro Mende...