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» Efficient Learning of Relational Object Class Models
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ANNPR
2006
Springer
15 years 4 months ago
Visual Classification of Images by Learning Geometric Appearances Through Boosting
We present a multiclass classification system for gray value images through boosting. The feature selection is done using the LPBoost algorithm which selects suitable features of a...
Martin Antenreiter, Christian Savu-Krohn, Peter Au...
CVPR
1998
IEEE
16 years 2 months ago
Hierarchical Morphable Models
This paper presents a new technique for modelling object classes (such as faces) and matching the model to novel images from the object class. The technique can be used for a vari...
Michael J. Jones, Tomaso Poggio
UAI
1997
15 years 1 months ago
Object-Oriented Bayesian Networks
Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applicati...
Daphne Koller, Avi Pfeffer
ICCD
2005
IEEE
135views Hardware» more  ICCD 2005»
15 years 9 months ago
Extended Forward Implications and Dual Recurrence Relations to Identify Sequentially Untestable Faults
In this paper, we make two major contributions: First, to enhance Boolean learning, we propose a new class of logic implications called extended forward implications. Using a nove...
Manan Syal, Rajat Arora, Michael S. Hsiao
127
Voted
ICML
2010
IEEE
15 years 1 months ago
Probabilistic Backward and Forward Reasoning in Stochastic Relational Worlds
Inference in graphical models has emerged as a promising technique for planning. A recent approach to decision-theoretic planning in relational domains uses forward inference in d...
Tobias Lang, Marc Toussaint