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» Scale in Object and Process Ontologies
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ICIP
1997
IEEE
14 years 9 months ago
An Optimization Approach to Unsupervised Hierarchical Texture Segmentation
In this paper we introduce a novel optimization framework for hierarchical data clustering and apply it to the problem of unsupervised texture segmentation. The proposed objective...
Thomas Hofmann, Jan Puzicha, Joachim M. Buhmann
DAGM
2008
Springer
13 years 9 months ago
Boosting for Model-Based Data Clustering
In this paper a novel and generic approach for model-based data clustering in a boosting framework is presented. This method uses the forward stagewise additive modeling to learn t...
Amir Saffari, Horst Bischof
ICDM
2009
IEEE
138views Data Mining» more  ICDM 2009»
13 years 5 months ago
Semantic-Rich Markov Models for Web Prefetching
Abstract--Domain knowledge for web applications is currently being made available as domain ontology with the advent of the semantic web, in which semantics govern relationships am...
Nizar R. Mabroukeh, Christie I. Ezeife
ECCV
2008
Springer
14 years 9 months ago
Simultaneous Detection and Registration for Ileo-Cecal Valve Detection in 3D CT Colonography
Object detection and recognition has achieved a significant progress in recent years. However robust 3D object detection and segmentation in noisy 3D data volumes remains a challen...
Le Lu, Adrian Barbu, Matthias Wolf, Jianming Liang...
CVPR
2009
IEEE
13 years 11 months ago
ImageNet: A large-scale hierarchical image database
The explosion of image data on the Internet has the potential to foster more sophisticated and robust models and algorithms to index, retrieve, organize and interact with images a...
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai...