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CVPR
2005
IEEE
16 years 1 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»
16 years 29 days 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»
16 years 23 days 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
16 years 10 days 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, ...
JCP
2008
167views more  JCP 2008»
15 years 7 months ago
Accelerated Kernel CCA plus SVDD: A Three-stage Process for Improving Face Recognition
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
Ming Li, Yuanhong Hao