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» Using a Non-prior Training Active Feature Model
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ICIP
2009
IEEE
15 years 1 months ago
An attention model for extracting components that merit identification
Cognitive systems are trained to recognise perceptually meaningful parts of an image. These regions contain some variation, i.e. local texture, and are roughly convex. We call suc...
Mohammad Jahangiri, Maria Petrou
MCAM
2007
Springer
129views Multimedia» more  MCAM 2007»
15 years 10 months ago
Learning Concepts by Modeling Relationships
Supporting multimedia search has emerged as an important research topic. There are three paradigms on the research spectrum that ranges from the least automatic to the most automat...
Yong Rui, Guo-Jun Qi
COMPSAC
2002
IEEE
15 years 8 months ago
Control-Driven Coordination Based Assembling of Components
The coordination paradigm has been used extensively as a mechanism for software composition and integration. Consequently, a number of associated models and languages have been pr...
Avraam Chimaris, George A. Papadopoulos
CORR
2008
Springer
102views Education» more  CORR 2008»
15 years 3 months ago
Spreadsheet modelling for solving combinatorial problems: The vendor selection problem
Spreadsheets have grown up and became very powerful and easy to use tools in applying analytical techniques for solving business problems. Operations managers, production managers...
Pandelis G. Ipsilandis
JMM2
2006
141views more  JMM2 2006»
15 years 3 months ago
Optimal Weighting of Landmarks for Face Recognition
A new method named Landmark Model Matching was recently proposed for fully automatic face recognition. It was inspired by Elastic Bunch Graph Matching and Active Shape Model. Landm...
Rajinda Senaratne, Saman K. Halgamuge