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169
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CVPR
2012
IEEE
13 years 6 months ago
Batch mode Adaptive Multiple Instance Learning for computer vision tasks
Multiple Instance Learning (MIL) has been widely exploited in many computer vision tasks, such as image retrieval, object tracking and so on. To handle ambiguity of instance label...
Wen Li, Lixin Duan, Ivor Wai-Hung Tsang, Dong Xu
184
Voted
TFM
2009
Springer
252views Formal Methods» more  TFM 2009»
15 years 10 months ago
Abstraction and Modelling: A Complementary Partnership
action and Modelling - a complementary partnership” 10h30 – 11h 00 Coffee break 11h-12h30 Session 1 “Model Transformation: Foundations” Algebraic models for bidirectional m...
Jeffrey Kramer
ICDE
2008
IEEE
137views Database» more  ICDE 2008»
16 years 5 months ago
Stop Chasing Trends: Discovering High Order Models in Evolving Data
Abstract-- Many applications are driven by evolving data -patterns in web traffic, program execution traces, network event logs, etc., are often non-stationary. Building prediction...
Shixi Chen, Haixun Wang, Shuigeng Zhou, Philip S. ...
241
Voted
ICDE
2008
IEEE
152views Database» more  ICDE 2008»
16 years 5 months ago
Ontology-Aware Search on XML-based Electronic Medical Records
As the use of Electronic Medical Records (EMRs) becomes more widespread, so does the need for effective information discovery on them. Recently proposed EMR standards are XML-based...
Anand Ranganathan, Fernando Farfán, Redmond...
256
Voted
ICDE
2003
IEEE
139views Database» more  ICDE 2003»
16 years 5 months ago
Super-Fast XML Wrapper Generation in DB2: A Demonstration
The XML Wrapper is a new feature of the federated database capabilities of DB2/UDB v8. It enables users and applications to issue SQL queries against XML data from a variety of so...
Vanja Josifovski, Sabine Massmann, Felix Naumann
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