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TABLE 1. COMPARISON OF RECONSTRUCTION METHODS

in Content-Adaptive Mesh Modeling for Tomographic Image Reconstruction
by Jovan G. Brankov, Yongyi Yang, Miles N. Wernick 2001
Cited by 2

Table 1 Summary of Reconstruction Methods

in Unifying Linear Prior-Information-Driven Methods for Accelerated Image Acquisition
by Jeffrey Tsao, Babak Behnia, Andrew G. Webb

Table 1. Quality measurement of the reconstruction methods

in Towards an optimal texture reconstruction
by Zsolt Tóth 2006
"... In PAGE 12: ... The tested images can have arbitrary size, for this approach there is not a problem to compare them with the original image. At first, the difference is tested between the DDT and the other reconstruction methods ( Table1 ) on... ..."
Cited by 1

Table 3. Perturbation/Reconstruction Method

in Hiding in the Crowd: Privacy Preservation on Evolving Streams through Correlation Tracking
by Feifei Li, Jimeng Sun, Spiros Papadimitriou, George A. Mihaila, Ioana Stanoi
"... In PAGE 7: ...ll experiments are performed on an Intel P4 2.0GHz CPU. 6.2 Dynamic Correlation The perturbation and reconstruction methods investi- gated in our experiments are summarized in Table3 , where N stands for noise and R for reconstruction. The of- fline algorithms, for both perturbation and reconstruction, are essentially the existing work on the static, relational data model, using PCA on the entire stream history to iden- tify correlations and add or remove noise accordingly.... ..."

TABLE 2. Unified formulation of reconstruction methods

in Interpreting Neuronal Population Activity by Reconstruction: Unified Framework With Application to Hippocampal Place Cells
by Kechen Zhang, Iris Ginzburg, Bruce L. Mcnaughton, Terrence J. Sejnowski 1998
Cited by 52

TABLE 2. Unified formulation of reconstruction methods

in unknown title
by unknown authors 2008

Table 5.3: Notation for Reconstruction Method

in Theoretical Framework for the Study of Sensory-Motor Integration
by Patricia Churchland, Marty Sereno, Elizabeth B. Torres 2001

Table 1: Imaging parameters for the data sets used to evaluate the reconstruction method.

in Object-based 3-D reconstruction of arterial trees from magnetic resonance angiograms
by Jeffrey A. Fessler, Albert Macovski 1991
Cited by 12

TABLE I Imaging parameters for the data sets used to evaluate the reconstruction method.

in Object-based 3-D reconstruction of arterial trees from magnetic resonance angiograms
by Jeffrey A. Fessler, Albert Macovski 1991
Cited by 12

Table 5.1: Image reconstruction method summary

in An Adaptive Signal Processing Approach to Dynamic Magnetic Resonance Imaging
by William Scott Hoge
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