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» A Graph Based Data Model for Graphics Interpretation
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PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
15 years 10 months ago
Learning Preferences with Hidden Common Cause Relations
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...
Kristian Kersting, Zhao Xu
109
Voted
TSE
2008
113views more  TSE 2008»
15 years 3 months ago
Discovering Neglected Conditions in Software by Mining Dependence Graphs
Neglected conditions are an important but difficult-to-find class of software defects. This paper presents a novel approach for revealing neglected conditions that integrates stati...
Ray-Yaung Chang, Andy Podgurski, Jiong Yang
112
Voted
BMCBI
2008
83views more  BMCBI 2008»
15 years 3 months ago
Models of deletion for visualizing bacterial variation: an application to tuberculosis spoligotypes
Background: Molecular typing methods are commonly used to study genetic relationships among bacterial isolates. Many of these methods have become standardized and produce portable...
Josephine F. Reyes, Andrew R. Francis, Mark M. Tan...
145
Voted
ICCV
2011
IEEE
14 years 3 months ago
Image Segmentation by Figure-Ground Composition into Maximal Cliques
We propose a mid-level statistical model for image segmentation that composes multiple figure-ground hypotheses (FG) obtained by applying constraints at different locations and s...
Adrian Ion, Joao Carreira, Cristian Sminchisescu
ICDE
2002
IEEE
121views Database» more  ICDE 2002»
16 years 4 months ago
Similarity Flooding: A Versatile Graph Matching Algorithm and Its Application to Schema Matching
Matching elements of two data schemas or two data instances plays a key role in data warehousing, e-business, or even biochemical applications. In this paper we present a matching...
Sergey Melnik, Hector Garcia-Molina, Erhard Rahm