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ECCV
2004
Springer
16 years 9 months ago
Extraction of Semantic Dynamic Content from Videos with Probabilistic Motion Models
Abstract. The exploitation of video data requires to extract information at a rather semantic level, and then, methods able to infer "concepts" from low-level video featu...
Gwenaëlle Piriou, Jian-Feng Yao, Patrick Bout...
MICCAI
2008
Springer
16 years 8 months ago
Dynamic Model-Driven Quantitative and Visual Evaluation of the Aortic Valve from 4D CT
Aortic valve disease is an important cardio-vascular disorder, which affects 2.5% of the global population and often requires elaborate clinical management. Experts agree that visu...
Razvan Ioan Ionasec, Bogdan Georgescu, Eva Gassn...
WWW
2009
ACM
16 years 7 months ago
Discovering the staring people from social networks
In this paper, we study a novel problem of staring people discovery from social networks, which is concerned with finding people who are not only authoritative but also sociable i...
Dewei Chen, Jie Tang, Juanzi Li, Lizhu Zhou
KDD
2008
ACM
110views Data Mining» more  KDD 2008»
16 years 7 months ago
Mining preferences from superior and inferior examples
Mining user preferences plays a critical role in many important applications such as customer relationship management (CRM), product and service recommendation, and marketing camp...
Bin Jiang, Jian Pei, Xuemin Lin, David W. Cheung, ...
KDD
2005
ACM
117views Data Mining» more  KDD 2005»
16 years 7 months ago
Rule extraction from linear support vector machines
We describe an algorithm for converting linear support vector machines and any other arbitrary hyperplane-based linear classifiers into a set of non-overlapping rules that, unlike...
Glenn Fung, Sathyakama Sandilya, R. Bharat Rao