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ECML
2007
Springer
13 years 11 months ago
Structure Learning of Probabilistic Relational Models from Incomplete Relational Data
Abstract. Existing relational learning approaches usually work on complete relational data, but real-world data are often incomplete. This paper proposes the MGDA approach to learn...
Xiao-Lin Li, Zhi-Hua Zhou
3DPVT
2002
IEEE
108views Visualization» more  3DPVT 2002»
13 years 9 months ago
Probabilistic 3D Data Fusion for Adaptive Resolution Surface Generation
In this paper we present an algorithm for adaptive resolution integration of 3D data collected from multiple distributed sensors. The input to the algorithm is a set of 3D surface...
Andrew E. Johnson, Roberto Manduchi
ICML
2007
IEEE
14 years 5 months ago
Linear and nonlinear generative probabilistic class models for shape contours
We introduce a robust probabilistic approach to modeling shape contours based on a lowdimensional, nonlinear latent variable model. In contrast to existing techniques that use obj...
Graham McNeill, Sethu Vijayakumar
BMCBI
2006
130views more  BMCBI 2006»
13 years 5 months ago
An interactive visualization tool to explore the biophysical properties of amino acids and their contribution to substitution ma
Background: Quantitative descriptions of amino acid similarity, expressed as probabilistic models of evolutionary interchangeability, are central to many mainstream bioinformatic ...
Blazej Bulka, Marie desJardins, Stephen J. Freelan...
ICASSP
2008
IEEE
13 years 11 months ago
A no-reference perceptual blockiness metric
A novel no-reference blockiness metric that can automatically and perceptually quantify blocking artifacts of DCT coding is presented. The proposed metric is built upon the specif...
Hantao Liu, Ingrid Heynderickx