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» Learning By Observation Using Qualitative Spatial Relations
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AINA
2007
IEEE
13 years 7 months ago
Detecting Anomaly Node Behavior in Wireless Sensor Networks
Wireless sensor networks are usually deployed in a way “once deployed, never changed”. The actions of sensor nodes are either pre-scheduled inside chips or triggered to respon...
Qinghua Wang, Tingting Zhang
MIR
2004
ACM
236views Multimedia» more  MIR 2004»
14 years 1 months ago
Boosting contextual information in content-based image retrieval
We present a new framework for characterizing and retrieving objects in cluttered scenes. This CBIR system is based on a new representation describing every object taking into acc...
Jaume Amores, Nicu Sebe, Petia Radeva, Theo Gevers...
ICPR
2000
IEEE
14 years 8 months ago
Image Distance Using Hidden Markov Models
We describe a method for learning statistical models of images using a second-order hidden Markov mesh model. First, an image can be segmented in a way that best matches its stati...
Daniel DeMenthon, David S. Doermann, Marc Vuilleum...
ICPR
2008
IEEE
14 years 2 months ago
Tracking human body by using particle filter Gaussian process Markov-switching model
The goal of this article is to present an effective and robust tracking algorithm for nonlinear feet motion by deploying particle filter integrated with Gaussian process latent v...
Jing Wang, Hong Man, Yafeng Yin
ATAL
2009
Springer
14 years 2 months ago
Towards multi-level modeling of self-assembling intelligent micro-systems
We investigate and model the dynamics of two-dimensional stochastic self-assembly of intelligent micro-systems with minimal requirements in terms of sensing, actuation, and contro...
Grégory Mermoud, Juergen Brugger, Alcherio ...