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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
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
JCDL
2004
ACM
102views Education» more  JCDL 2004»
15 years 10 months ago
Multi-modal classification in digital news libraries
This paper describes a comprehensive approach to construct robust multi-modal video classification on a specific digital source, broadcast news. Broadcast news has a very stable s...
Ming-yu Chen, Alexander G. Hauptmann
CIVR
2003
Springer
107views Image Analysis» more  CIVR 2003»
15 years 9 months ago
Fast Video Retrieval under Sparse Training Data
Feature selection for video retrieval applications is impractical with existing techniques, because of their high time complexity and their failure on the relatively sparse trainin...
Yan Liu, John R. Kender
CBSE
2010
Springer
15 years 9 months ago
Comparison of Component Frameworks for Real-Time Embedded Systems
Abstract. The usage of components brings significant help in development of real-time embedded systems. There have been a number of component frameworks developed for this purpose...
Petr Hosek, Tomás Pop, Tomás Bures, ...