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» A General Method for Feature Matching and Model Extraction
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SAC
2003
ACM
14 years 2 months ago
TinyGALS: A Programming Model for Event-Driven Embedded Systems
Networked embedded systems such as wireless sensor networks are usually designed to be event-driven so that they are reactive and power efficient. Programming embedded systems wit...
Elaine Cheong, Judith Liebman, Jie Liu, Feng Zhao
KDD
2005
ACM
139views Data Mining» more  KDD 2005»
14 years 2 months ago
Learning to predict train wheel failures
This paper describes a successful but challenging application of data mining in the railway industry. The objective is to optimize maintenance and operation of trains through prog...
Chunsheng Yang, Sylvain Létourneau
IEEEMM
2002
291views more  IEEEMM 2002»
13 years 8 months ago
Semantic Annotation of Sports Videos
ion when we annotate content. This therefore requires us to investigate and model video semantics. Because of the type and volume of data, general-purpose approaches are likely to ...
Jürgen Assfalg, Marco Bertini, Carlo Colombo,...
BMCBI
2010
178views more  BMCBI 2010»
13 years 9 months ago
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests
Background: Chow and Liu showed that the maximum likelihood tree for multivariate discrete distributions may be found using a maximum weight spanning tree algorithm, for example K...
David Edwards, Gabriel C. G. de Abreu, Rodrigo Lab...
BMVC
2010
13 years 7 months ago
Background Modelling on Tensor Field for Foreground Segmentation
The paper proposes a new method to perform foreground detection by means of background modeling using the tensor concept. Sometimes, statistical modelling directly on image values...
Rui Caseiro, Jorge Batista, Pedro Martins