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GECCO
2007
Springer
187views Optimization» more  GECCO 2007»
15 years 10 months ago
Defining implicit objective functions for design problems
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
Sean Hanna
IEEESCC
2006
IEEE
15 years 10 months ago
Personalized Active Service Spaces for End-User Service Composition
End-user service composition is a promising way to ensure flexible, quick and personalized information provision and utilization, and consequently to better cope with spontaneous ...
Jun Han, Yanbo Han, Yan Jin, Jianwu Wang, Jian Yu
CVPR
2005
IEEE
15 years 10 months ago
Jensen-Shannon Boosting Learning for Object Recognition
In this paper, we propose a novel learning method, called Jensen-Shannon Boosting (JSBoost) and demonstrate its application to object recognition. JSBoost incorporates Jensen-Shan...
Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
HICSS
2005
IEEE
145views Biometrics» more  HICSS 2005»
15 years 10 months ago
Towards a Reliable and Efficient Distributed Storage System
This paper presents RDSS, a Resource Area Network (RAN)-based Distributed Storage System, which is designed for high scalability, long-term reliability, and operational efficiency...
Xiaodong Li, Chang Liu
SIGIR
2005
ACM
15 years 10 months ago
A phonotactic-semantic paradigm for automatic spoken document classification
We demonstrate a phonotactic-semantic paradigm for spoken document categorization. In this framework, we define a set of acoustic words instead of lexical words to represent acous...
Bin Ma, Haizhou Li