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KDD
2001
ACM
226views Data Mining» more  KDD 2001»
15 years 2 months ago
Image Mining: Issues, Frameworks and Techniques
Advances in image acquisition and storage technology have led to tremendous growth in significantly large and detailed image databases. These images, if analyzed, can reveal usefu...
Ji Zhang, Wynne Hsu, Mong-Li Lee
JIIS
2002
130views more  JIIS 2002»
14 years 9 months ago
Image Mining: Trends and Developments
Advances in image acquisition and storage technology have led to tremendous growth in very large and detailed image databases. These images, if analyzed, can reveal useful informa...
Wynne Hsu, Mong-Li Lee, Ji Zhang
JAISE
2011
238views more  JAISE 2011»
14 years 4 months ago
A bio-inspired system model for interactive surveillance applications
Advances in computer vision and pattern recognition research are leading to video surveillance systems with improved scene analysis capabilities. However, up to now few works have ...
Alessio Dore, Matteo Pinasco, Lorenzo Ciardelli, C...
CP
2009
Springer
15 years 4 months ago
Why Cumulative Decomposition Is Not as Bad as It Sounds
Abstract. The global cumulative constraint was proposed for modelling cumulative resources in scheduling problems for finite domain (FD) propagation. Since that time a great deal ...
Andreas Schutt, Thibaut Feydy, Peter J. Stuckey, M...
FDG
2009
ACM
14 years 7 months ago
Toward a domain-independent framework to automate scaffolding of task-based learning in digital games
This poster describes a framework that automatically generates learning support scaffolds to guide task-based learning. The aim is to combine the exploratory learning principles p...
James M. Thomas, R. Michael Young