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VISAPP
2007
15 years 7 months ago
Modeling non-gaussian noise for robust image analysis
Accurate noise models are important to perform reliable robust image analysis. Indeed, many vision problems can be seen as parameter estimation problems. In this paper, two noise m...
Sio-Song Ieng, Jean-Philippe Tarel, Pierre Charbon...
JCISE
2002
148views more  JCISE 2002»
15 years 5 months ago
Hybrid Cellular-functional Modeling of Heterogeneous Objects
An approach to modeling heterogeneous objects as multidimensional point sets with multiple attributes (hypervolumes) is presented. Attributes given at each point represent object ...
Valery Adzhiev, Elena Kartasheva, Tosiyasu L. Kuni...
MVA
2002
195views Computer Vision» more  MVA 2002»
15 years 5 months ago
Improved Adaptive Mixture Learning for Robust Video Background Modeling
2 Related Works Gaussian mixtures are often used for data modeling in many real-time applications such as video background modeling and speaker direction tracking. The real-time a...
Dar-Shyang Lee
IJNS
2010
106views more  IJNS 2010»
15 years 4 months ago
Cascade Process Modeling with Mechanism-Based Hierarchical Neural Networks
Abstract: Cascade process, such as wastewater treatment plant, includes many nonlinear subsystems and many variables. When the number of sub-systems is big, the input-output relati...
Qiumei Cong, Wen Yu, Tianyou Chai
EMNLP
2010
15 years 4 months ago
Jointly Modeling Aspects and Opinions with a MaxEnt-LDA Hybrid
Discovering and summarizing opinions from online reviews is an important and challenging task. A commonly-adopted framework generates structured review summaries with aspects and ...
Wayne Xin Zhao, Jing Jiang, Hongfei Yan, Xiaoming ...