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ICIP
2008
IEEE
15 years 4 months ago
Augmented tree partitioning for interactive image segmentation
In this paper, we propose a new fast semi-supervised image segmentation method based on augmented tree partitioning. Unlike many existing methods that use a graph structure to mod...
Yangqing Jia, Jingdong Wang, Changshui Zhang, Xian...
FROCOS
2007
Springer
15 years 4 months ago
Languages Modulo Normalization
Abstract. We propose a new class of tree automata, called tree automata with normalization (TAN). This framework extends equational tree automata, and improved the results of them:...
Hitoshi Ohsaki, Hiroyuki Seki
AUSAI
1999
Springer
15 years 2 months ago
Generating Rule Sets from Model Trees
Model trees—decision trees with linear models at the leaf nodes—have recently emerged as an accurate method for numeric prediction that produces understandable models. However,...
Geoffrey Holmes, Mark Hall, Eibe Frank
ICCV
2005
IEEE
15 years 11 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu
CSMR
2000
IEEE
15 years 2 months ago
The Evolution Tree: A Maintenance-Oriented Software Development Model
In this paper we introduce the evolution tree - a software life-cycle model that describes software development as the continuous evolution of a software product. That is, we view...
Amir Tomer, Stephen R. Schach