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AUTOMATICA
2007
93views more  AUTOMATICA 2007»
15 years 7 months ago
Development of omni-directional correlation functions for nonlinear model validation
In the present study a set of first order correlation functions are proposed to examine the quality of a wide class of identified nonlinear models. The first order correlation ...
Quan Min Zhu, Li Feng Zhang, Ashley Longden
IIE
2008
112views more  IIE 2008»
15 years 6 months ago
Towards a Blended Learning Model for Teaching and Learning Computer Programming: A Case Study
Blended learning is becoming an attractive model in higher education as new innovative information technologies are becoming increasingly available. However, just blending face-to-...
Said Hadjerrouit
MEMICS
2010
15 years 1 months ago
GPU-Based Sample-Parallel Context Modeling for EBCOT in JPEG2000
Embedded Block Coding with Optimal Truncation (EBCOT) is the fundamental and computationally very demanding part of the compression process of JPEG2000 image compression standard. ...
Jiri Matela, Vit Rusnak, Petr Holub
ISMIS
2011
Springer
14 years 9 months ago
An Evolutionary Algorithm for Global Induction of Regression Trees with Multivariate Linear Models
In the paper we present a new evolutionary algorithm for induction of regression trees. In contrast to the typical top-down approaches it globally searches for the best tree struct...
Marcin Czajkowski, Marek Kretowski
ICIP
2005
IEEE
16 years 8 months ago
A segmentation method using compound Markov random fields based on a general boundary model
Markov random field (MRF) theory has widely been applied to segmentation in noisy images. This paper proposes a new MRF method. First, it couples the original labeling MRF with a ...
Jue Wu, Albert C. S. Chung