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» Multidimensional Data Modeling for Business Process Analysis
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142
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DAGM
2006
Springer
15 years 7 months ago
On-Line, Incremental Learning of a Robust Active Shape Model
Abstract. Active Shape Models are commonly used to recognize and locate different aspects of known rigid objects. However, they require an off-line learning stage, such that the ex...
Michael Fussenegger, Peter M. Roth, Horst Bischof,...
106
Voted
ICASSP
2010
IEEE
15 years 3 months ago
Simultaneous search for all modes in multilinear models
Parallel factor (PARAFAC) analysis is an extension of a low rank decomposition to higher way arrays, usually called tensors. Most of existing methods are based on an alternating l...
Petr Tichavský, Zbynek Koldovský
110
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Temporal hysteresis model of time varying subjective video quality
Video quality assessment (QA) continues to be an important area of research due to the overwhelming number of applications where videos are delivered to humans. In particular, the...
Kalpana Seshadrinathan, Alan C. Bovik
133
Voted
CIKM
1997
Springer
15 years 7 months ago
Learning Belief Networks from Data: An Information Theory Based Approach
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
Jie Cheng, David A. Bell, Weiru Liu
157
Voted
VISUALIZATION
1992
IEEE
15 years 7 months ago
Generalized Focal Surfaces: A New Method for Surface Interrogation
The generation of smooth surfaces from a mesh of three-dimensional data points is an important problem in geometric modeling. Apart from the pure construction of these curves and ...
Hans Hagen, Stefanie Hahmann