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» Graph model selection using maximum likelihood
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XSYM
2009
Springer
264views Database» more  XSYM 2009»
14 years 3 months ago
From Entity Relationship to XML Schema: A Graph-Theoretic Approach
Abstract. We propose a mapping from the Enhanced Entity Relationship conceptual model to the W3C XML Schema Language with the following properties: information and integrity constr...
Massimo Franceschet, Donatella Gubiani, Angelo Mon...
CLASSIFICATION
2007
105views more  CLASSIFICATION 2007»
13 years 8 months ago
Bayesian Regularization for Normal Mixture Estimation and Model-Based Clustering
Normal mixture models are widely used for statistical modeling of data, including cluster analysis. However maximum likelihood estimation (MLE) for normal mixtures using the EM al...
Chris Fraley, Adrian E. Raftery
WSCG
2004
245views more  WSCG 2004»
13 years 10 months ago
Pel-Recursive Motion Estimation Using the Expectation-Maximization Technique and Spatial Adaptation
Pel-recursive motion estimation is a well-established approach. However, in the presence of noise, it becomes an ill-posed problem that requires regularization. In this paper, mot...
Vania V. Estrela, Luís A. Rivera, Marcos H....
WWW
2009
ACM
14 years 3 months ago
StatSnowball: a statistical approach to extracting entity relationships
Traditional relation extraction methods require pre-specified relations and relation-specific human-tagged examples. Bootstrapping systems significantly reduce the number of tr...
Jun Zhu, Zaiqing Nie, Xiaojiang Liu, Bo Zhang, Ji-...
ISNN
2005
Springer
14 years 2 months ago
Neural Network Based Online Feature Selection for Vehicle Tracking
Abstract. Aiming at vehicle tracking with a single moving camera for autonomous driving, this paper presents a strategy of online feature selection combined with related process fr...
Tie Liu, Nanning Zheng, Hong Cheng