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ICIP
2006
IEEE
16 years 8 months ago
Spatially Constrained Wiener Filter with Markov Autocorrelation Modeling for Image Resolution Enhancement
This paper develops a practical method for image resolution enhancement. The method optimizes the spatially constrained Wiener filter for an efficiently parameterized model of the...
Jiazheng Shi, Stephen E. Reichenbach
IJCV
2000
110views more  IJCV 2000»
15 years 6 months ago
A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients
We present a universal statistical model for texture images in the context of an overcomplete complex wavelet transform. The model is parameterized by a set of statistics computed ...
Javier Portilla, Eero P. Simoncelli
FLAIRS
2003
15 years 8 months ago
A Case-Based Adaptation Model for Thyroid Cancer Diagnosis Using Neural Networks
In this paper, a new hybrid adaptation model for cancer diagnosis has been developed. It combines transformational and hierarchical adaptation techniques with artificial neural ne...
Abdel-Badeeh M. Salem, Bassant El Bagoury
DKE
2008
103views more  DKE 2008»
15 years 6 months ago
The XML Tree Model - toward an XML conceptual schema reversed from XML Schema Definition
XML Schema Definition (XSD) is the logical schemas of an XML model, but there is no standard format for the conceptual schema of an XML model. Therefore, we propose an XML Tree Mo...
Joseph Fong, San Kuen Cheung, Herbert Shiu
VLSID
2003
IEEE
253views VLSI» more  VLSID 2003»
16 years 7 months ago
High Level Synthesis from Sim-nML Processor Models
The design of modern complex embedded systems require a high level of abstraction of the design. The SimnML[1] is a specification language to model processors for such designs. Se...
Souvik Basu, Rajat Moona