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» Efficient Learning of Relational Object Class Models
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ICSM
1999
IEEE
15 years 7 months ago
Using Coupling Measurement for Impact Analysis in Object-Oriented Systems
Many coupling measures have been proposed in the context of object-oriented (OO) systems. In addition, several studies have highlighted the complexity of using dependency analysis...
Lionel C. Briand, Jürgen Wüst, Hakim Lou...
145
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INTERSPEECH
2010
14 years 10 months ago
Boosted mixture learning of Gaussian mixture HMMs for speech recognition
In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models fo...
Jun Du, Yu Hu, Hui Jiang
ICDS
2010
IEEE
15 years 8 months ago
Towards Learning Domain Ontology from Legacy Documents
—Learning ontology from text is a challenge in knowledge engineering research and practice. Learning relations between concepts is even more difficult work. However, when conside...
Yijian Wu, Shaolei Zhang, Wenyun Zhao
ICCV
2009
IEEE
15 years 1 months ago
SURF Tracking
Most motion-based tracking algorithms assume that objects undergo rigid motion, which is most likely disobeyed in real world. In this paper, we present a novel motionbased trackin...
Wei He, Takayoshi Yamashita, Hongtao Lu, Shihong L...
IJCAI
2003
15 years 4 months ago
When Discriminative Learning of Bayesian Network Parameters Is Easy
Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...
Hannes Wettig, Peter Grünwald, Teemu Roos, Pe...