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COMSIS
2007
167views more  COMSIS 2007»
15 years 2 months ago
Developing a New Color Model for Image Analysis and Processing
The theoretical outcomes and experimental results of new color model implemented in algorithms and software of image processing are presented in the paper. This model, as it will b...
Rashad J. Rasras, Ibrahiem M. M. El Emary, Dimitri...
EDUTAINMENT
2007
Springer
15 years 8 months ago
Method of Motion Data Processing Based on Manifold Learning
Due to the high-dimensionality of motion captured data which resulted in the complexity in motion analysis, a method of motion data processing based on manifold learning was propos...
Fengxia Li, Tianyu Huang, Lijie Li
DSMML
2004
Springer
15 years 7 months ago
Understanding Gaussian Process Regression Using the Equivalent Kernel
The equivalent kernel [1] is a way of understanding how Gaussian process regression works for large sample sizes based on a continuum limit. In this paper we show how to approximat...
Peter Sollich, Christopher K. I. Williams
CCE
2005
15 years 2 months ago
Development and application of linear process model in estimation and control of reactive distillation
This paper presents a comprehensive formulation of a linearized state space process model for a generic two-reactant-two-product reactive distillation system. The development of t...
Moshood J. Olanrewaju, Muhammad A. Al-Arfaj
JUCS
2007
107views more  JUCS 2007»
15 years 2 months ago
Genetic Algorithm Based Recurrent Fuzzy Neural Network Modeling of Chemical Processes
: A genetic algorithm (GA) based recurrent fuzzy neural network modeling method for dynamic nonlinear chemical process is presented. The dynamic recurrent fuzzy neural network (RFN...
Jili Tao, Ning Wang, Xuejun Wang