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ECAI
2010
Springer
13 years 6 months ago
Adaptive Markov Logic Networks: Learning Statistical Relational Models with Dynamic Parameters
Abstract. Statistical relational models, such as Markov logic networks, seek to compactly describe properties of relational domains by representing general principles about objects...
Dominik Jain, Andreas Barthels, Michael Beetz
ICTAI
2010
IEEE
13 years 6 months ago
Unsupervised Greedy Learning of Finite Mixture Models
This work deals with a new technique for the estimation of the parameters and number of components in a finite mixture model. The learning procedure is performed by means of a expe...
Nicola Greggio, Alexandre Bernardino, Cecilia Lasc...
CEC
2010
IEEE
13 years 5 months ago
Improving evolutionary testing by means of efficiency enhancement techniques
TestFul is a novel evolutionary testing approach for object-oriented programs with complex internal states. In our preliminary experiments, it already outperformed some of the well...
Matteo Miraz, Pier Luca Lanzi, Luciano Baresi
ACCV
2010
Springer
13 years 4 months ago
Temporal Super Resolution from a Single Quasi-periodic Image Sequence Based on Phase Registration
This paper describes a method for temporal super resolution from a single quasi-periodic image sequence. A so-called reconstructionbased method is applied to construct a one period...
Yasushi Makihara, Atsushi Mori, Yasushi Yagi
ACCV
2010
Springer
13 years 4 months ago
Multiple Viewpoint Recognition and Localization
This paper presents a novel approach for labeling objects based on multiple spatially-registered images of a scene. We argue that such a multi-view labeling approach is a better fi...
Scott Helmer, David Meger, Marius Muja, James J. L...