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TNN
2008
178views more  TNN 2008»
13 years 8 months ago
IMORL: Incremental Multiple-Object Recognition and Localization
This paper proposes an incremental multiple-object recognition and localization (IMORL) method. The objective of IMORL is to adaptively learn multiple interesting objects in an ima...
Haibo He, Sheng Chen
INFORMS
2007
123views more  INFORMS 2007»
13 years 8 months ago
Constructing Ensembles from Data Envelopment Analysis
It has been shown in prior work in management science, statistics and machine learning that using an ensemble of models often results in better performance than using a single ‘...
Zhiqiang Zheng, Balaji Padmanabhan
TMA
2012
Springer
254views Management» more  TMA 2012»
12 years 4 months ago
Steps towards the Extraction of Vehicular Mobility Patterns from 3G Signaling Data
Abstract. The signaling traffic of a cellular network is rich of information related to the movements of its devices across cell boundaries. Thus, passive monitoring of anonymized ...
Pierdomenico Fiadino, Danilo Valerio, Fabio Riccia...
CIKM
2005
Springer
14 years 2 months ago
Information retrieval and machine learning for probabilistic schema matching
Schema matching is the problem of finding correspondences (mapping rules, e.g. logical formulae) between heterogeneous schemas e.g. in the data exchange domain, or for distribute...
Henrik Nottelmann, Umberto Straccia
ECTEL
2006
Springer
14 years 15 days ago
Bayesian Student Models Based on Item to Item Knowledge Structures
Bayesian networks are commonly used in cognitive student modeling and assessment. They typically represent the item-concepts relationships, where items are observable responses to ...
Michel Desmarais, Michel Gagnon