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» Relation Extraction Using Support Vector Machine
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IPM
2008
100views more  IPM 2008»
13 years 9 months ago
Query-level loss functions for information retrieval
Many machine learning technologies such as support vector machines, boosting, and neural networks have been applied to the ranking problem in information retrieval. However, since...
Tao Qin, Xu-Dong Zhang, Ming-Feng Tsai, De-Sheng W...
MIE
2008
177views Healthcare» more  MIE 2008»
13 years 10 months ago
Process Mining Techniques: an Application to Stroke Care
In a competitive health-care market, hospitals have to focus on ways to streamline their processes in order to deliver high quality care while at the same time reducing costs. To a...
Ronny Mans, Helen Schonenberg, Giorgio Leonardi, S...
ISF
2007
69views more  ISF 2007»
13 years 8 months ago
Assessing the UK policies for broadband adoption
Broadband technology has been introduced to the business community and the public as a rapid way of exploiting the Internet. The benefits of its use (fast reliable connections, an...
Jyoti Choudrie, Anastasia Papazafeiropoulou
SMC
2010
IEEE
242views Control Systems» more  SMC 2010»
13 years 7 months ago
Analysis of shopping behavior based on surveillance system
—Closed Circuit Television systems in shopping malls could be used to monitor the shopping behavior of people. From the tracked path, features can be extracted such as the relati...
Mirela Popa, Léon J. M. Rothkrantz, Zhenke ...
ICPR
2006
IEEE
14 years 10 months ago
Boosted Gabor Features Applied to Vehicle Detection
Robust vehicle detection is a challenging task given vehicles with different types, and sizes, and at different distances. This paper proposes a Boosted Gabor Features (BGF) appro...
Chong Sun, Hong Cheng, Nanning Zheng