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» Feature Extraction Using Fuzzy Rule Based System
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KDD
2008
ACM
211views Data Mining» more  KDD 2008»
15 years 10 months ago
ArnetMiner: extraction and mining of academic social networks
This paper addresses several key issues in the ArnetMiner system, which aims at extracting and mining academic social networks. Specifically, the system focuses on: 1) Extracting ...
Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Li Zha...
KDD
2004
ACM
190views Data Mining» more  KDD 2004»
15 years 10 months ago
V-Miner: using enhanced parallel coordinates to mine product design and test data
Analyzing data to find trends, correlations, and stable patterns is an important task in many industrial applications. This paper proposes a new technique based on parallel coordi...
Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Andreas Sc...
ICIP
2003
IEEE
15 years 11 months ago
Robust moving video object segmentation in the MPEG compressed domain
In this paper, we proposed a robust moving video object segmentation algorithm using features in the MPEG compressed domain. We first cluster the motion vectors and produce a moti...
Xiao-Dong Yu, Ling-Yu Duan, Qi Tian
ACSW
2004
14 years 11 months ago
A wavelet-based neuro-fuzzy system for data mining small image sets
Creating a robust image classification system depends on having enough data with which one can adequately train and validate the model. If there is not enough available data, this...
Brendon J. Woodford, Da Deng, George L. Benwell
EDOC
2002
IEEE
15 years 2 months ago
Anti-Yacc: MOF-to-Text
The Object Management Group (OMG) is pursuing its new Model-Driven Architecture (MDA) strategy. The Meta-Object Facility (MOF) is an important technology to support the MDA, both ...
David Hearnden, Kerry Raymond, Jim Steel