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CVPR
2007
IEEE
16 years 6 months ago
Composite Models of Objects and Scenes for Category Recognition
This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifie...
David J. Crandall, Daniel P. Huttenlocher
ICPR
2008
IEEE
15 years 10 months ago
A clustering algorithm combine the FCM algorithm with supervised learning normal mixture model
In this paper we propose a new clustering algorithm which combines the FCM clustering algorithm with the supervised learning normal mixture model; we call the algorithm as the FCM...
Wei Wang, Chunheng Wang, Xia Cui, Ai Wang
BDIM
2007
IEEE
171views Business» more  BDIM 2007»
15 years 10 months ago
A Model Driven Framework for IT Transformation
IT organizations are facing significant business and technical challenges today. On the business realm, companies are increasingly outsourcing their IT operations to specialized I...
Santhosh Kumaran, Tian Chao, Kamal Bhattacharya, P...
CONTEXT
2001
Springer
15 years 8 months ago
A Connectionist-Symbolic Approach to Modeling Agent Behavior: Neural Networks Grouped by Contexts
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...
DEBS
2009
ACM
15 years 8 months ago
MICS: an efficient content space representation model for publish/subscribe systems
One of the main challenges faced by content-based publish/subscribe systems is handling large amount of dynamic subscriptions and publications in a multidimensional content space....
Hojjat Jafarpour, Sharad Mehrotra, Nalini Venkatas...