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» General Framework on Change Detection in a Sparse Domain
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SEMWEB
2009
Springer
15 years 6 months ago
On Detecting High-Level Changes in RDF/S KBs
An increasing number of scientific communities rely on Semantic Web ontologies to share and interpret data within and across research domains. These common knowledge representatio...
Vicky Papavassiliou, Giorgos Flouris, Irini Fundul...
FGR
2006
IEEE
147views Biometrics» more  FGR 2006»
15 years 5 months ago
Learning Sparse Features in Granular Space for Multi-View Face Detection
In this paper, a novel sparse feature set is introduced into the Adaboost learning framework for multi-view face detection (MVFD), and a learning algorithm based on heuristic sear...
Chang Huang, Haizhou Ai, Yuan Li, Shihong Lao
AIA
2007
15 years 1 months ago
A framework for generating data to simulate changing environments
A fundamental assumption often made in supervised classification is that the problem is static, i.e. the description of the classes does not change with time. However many practi...
Anand M. Narasimhamurthy, Ludmila I. Kuncheva
ADC
2000
Springer
98views Database» more  ADC 2000»
15 years 4 months ago
A Generalized Modeling Framework for Schema Versioning Support
Advanced object-oriented applications require the management of schema versions, in order to cope with changes in the structure of the stored data. Two types of versioning have be...
Fabio Grandi, Federica Mandreoli, Maria Rita Scala...
JUCS
2010
265views more  JUCS 2010»
14 years 10 months ago
A General Framework for Multi-Human Tracking using Kalman Filter and Fast Mean Shift Algorithms
: The task of reliable detection and tracking of multiple objects becomes highly complex for crowded scenarios. In this paper, a robust framework is presented for multi-Human track...
Ahmed Ali, Kenji Terada