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ICCV
2007
IEEE
14 years 2 months ago
Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features
Multi-chamber heart segmentation is a prerequisite for global quantification of the cardiac function. The complexity of cardiac anatomy, poor contrast, noise or motion artifacts ...
Yefeng Zheng, Adrian Barbu, Bogdan Georgescu, Mich...
ICDM
2007
IEEE
121views Data Mining» more  ICDM 2007»
14 years 2 months ago
Finding Predictive Runs with LAPS
We present an extension to the Lasso [9] for binary classification problems with ordered attributes. Inspired by the Fused Lasso [8] and the Group Lasso [10, 4] models, we aim to...
Suhrid Balakrishnan, David Madigan
IPPS
2007
IEEE
14 years 2 months ago
Gossip-based Reputation Aggregation for Unstructured Peer-to-Peer Networks
: Peer-to-Peer (P2P) reputation systems are needed to evaluate the trustworthiness of participating peers and to combat selfish and malicious peer behaviors. The reputation system ...
Runfang Zhou, Kai Hwang
KBSE
2007
IEEE
14 years 2 months ago
Improving evolutionary class testing in the presence of non-public methods
Automating the generation of object-oriented unit tests is a challenging task. This is mainly due to the complexity and peculiarities that the principles of object-orientation imp...
Stefan Wappler, Ina Schieferdecker
AUSDM
2007
Springer
193views Data Mining» more  AUSDM 2007»
14 years 2 months ago
Are Zero-suppressed Binary Decision Diagrams Good for Mining Frequent Patterns in High Dimensional Datasets?
Mining frequent patterns such as frequent itemsets is a core operation in many important data mining tasks, such as in association rule mining. Mining frequent itemsets in high-di...
Elsa Loekito, James Bailey