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» Efficient Learning of Relational Object Class Models
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84
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CVPR
2006
IEEE
16 years 2 months ago
Hierarchical Statistical Learning of Generic Parts of Object Structure
With the growing interest in object categorization various methods have emerged that perform well in this challenging task, yet are inherently limited to only a moderate number of...
Sanja Fidler, Gregor Berginc, Ales Leonardis
90
Voted
ICTCS
2007
Springer
15 years 6 months ago
Analyzing Non-Interference with respect to Classes
The information flow property of Non-Interference was recently relaxed into Abstract NonInterference (ANI), a weakened version where attackers can only observe properties of data,...
Damiano Zanardini
116
Voted
NIPS
2004
15 years 1 months ago
Parametric Embedding for Class Visualization
In this paper, we propose a new method, Parametric Embedding (PE), for visualizing the posteriors estimated over a mixture model. PE simultaneously embeds both objects and their c...
Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean S...
110
Voted
ICDM
2008
IEEE
150views Data Mining» more  ICDM 2008»
15 years 7 months ago
Pseudolikelihood EM for Within-network Relational Learning
In this work, we study the problem of within-network relational learning and inference, where models are learned on a partially labeled relational dataset and then are applied to ...
Rongjing Xiang, Jennifer Neville
EWCBR
1998
Springer
15 years 4 months ago
Similarity Measures for Object-Oriented Case Representations
Object-oriented case representations require approaches for similarity assessment that allow to compare two differently structured objects, in particular, objects belonging to diff...
Ralph Bergmann, Armin Stahl