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» An Approach to Classify Semi-structured Objects
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ICML
2008
IEEE
14 years 8 months ago
Boosting with incomplete information
In real-world machine learning problems, it is very common that part of the input feature vector is incomplete: either not available, missing, or corrupted. In this paper, we pres...
Feng Jiao, Gholamreza Haffari, Greg Mori, Shaojun ...
ECTEL
2007
Springer
14 years 2 months ago
Model Driven E-Learning Platform Integration
The success of the e-learning paradigm observed in recent times created a growing demand for e-learning systems in universities and other educational institutions, that itself led ...
Zuzana Bizonova
IPPS
2002
IEEE
14 years 24 days ago
A Comparative Study of Parallel and Distributed Java Projects for Heterogeneous Systems
During the last few years, the concepts of cluster computing and heterogeneous networked systems have received increasing interest. The popularity of using Java for developing par...
Jameela Al-Jaroodi, Nader Mohamed, Hong Jiang, Dav...
ANNPR
2006
Springer
13 years 11 months ago
Visual Classification of Images by Learning Geometric Appearances Through Boosting
We present a multiclass classification system for gray value images through boosting. The feature selection is done using the LPBoost algorithm which selects suitable features of a...
Martin Antenreiter, Christian Savu-Krohn, Peter Au...
DAWAK
2010
Springer
13 years 8 months ago
Region of Interest Based Image Categorization
Region Of Interest Based Image Classification (ROIBIC) is a mechanism for categorising images according to some specific component or object that features across a given image set....
Ashraf Elsayed, Frans Coenen, Marta García-...