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» Experiments with Classifier Combining Rules
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ICMCS
2005
IEEE
108views Multimedia» more  ICMCS 2005»
15 years 7 months ago
Robust learning-based TV commercial detection
A robust learning-based TV commercial detection approach is proposed in this paper. Firstly a set of basic features that facilitate distinguishing commercials from general program...
Xian-Sheng Hua, Lie Lu, Hong-Jiang Zhang
CVPR
2010
IEEE
15 years 9 months ago
Learning from Interpolated Images using Neural Networks for Digital Forensics
Interpolated images have data redundancy, and special correlation exists among neighboring pixels, which is a crucial clue in digital forensics. We design a neural network based f...
Yizhen Huang, Na Fan
ICDAR
2003
IEEE
15 years 6 months ago
Rejection Algorithm for Mis-segmented Characters In Multilingual Document Recognition
In OCR systems the character segmentation algorithm may generate mis-segmented blocks. Feedback information from character classifier is indispensable to achieve higher character ...
Zhengang Chen, Xiaoqing Ding
CIARP
2008
Springer
15 years 3 months ago
Learning and Forgetting with Local Information of New Objects
The performance of supervised learners depends on the presence of a relatively large labeled sample. This paper proposes an automatic ongoing learning system, which is able to inco...
Fernando Vázquez, José Salvador S&aa...
ACL
2009
14 years 11 months ago
Semantic Tagging of Web Search Queries
We present a novel approach to parse web search queries for the purpose of automatic tagging of the queries. We will define a set of probabilistic context-free rules, which genera...
Mehdi Manshadi, Xiao Li