Deconvolution results for the small compound
Intra Oral Approach for Complex & Compound Odontomas (Large or Small)
... teeth. Compound odontomas: composed of all odontogenic tissues in an orderly pattern, which result in many teeth-like structures, but without morphologic resemblance to normal ...and compound odotome with ...
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Efficient Deconvolution Algorithm
... The results for proposed algorithm and comparison with various deconvolution techniques are illustrated in Fig ...corresponding results are demonstrated in Fig 13 and Fig 14 ...
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Joint deconvolution and demosaicing
... , (18) where K is the number of pixels, ˆx and x are respectively the restored and the true images. Here the signal is assigned to the original im- age and the noise corresponds to the reconstruction error. Thus, the ...
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Diffusion Tractography Biomarkers of Pediatric Cerebellar Hypoplasia/Atrophy: Preliminary Results Using Constrained Spherical Deconvolution
... Limitations This study was performed in the context of a clinical MR imaging examination. Due to the need for a short acquisition time, we were able to apply only 30 gradient directions. This number of directions is too ...
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Discrete Tomography in Discrete Deconvolution: Deconvolution of Binary Images Using Ryser s Algorithm
... Fig. 4. Typical setup of a digital holographic data storage system are input to the system via a spatial light modulator (SLM) and in the simplest case, each bit is mapped to a single SLM pixel. Several data pages are ...
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Multiscale inference for multivariate deconvolution
... technical results. 2. Multiscale inference in multivariate deconvolution Let ∂ s denote the directional derivative in the direction of s ∈ S d−1 = {s ∈ R d | s = 1} and φ : R d → R ≥ 0 be a sufficiently ...
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A study in beamforming and DAMAS deconvolution
... A calibration function is made, which compensates for this off result, so the peak level method can also be used to find the strength of line sources. This calibration function is made for several coherent lengths. Also ...
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Multiscale inference for multivariate deconvolution
... nκ 1 n (0.05) of the test (4.3). The density f ε is defined in (4.1). for the sample sizes n = 500, 1000, 4000 observations and h 0 = 0.5. Here, the value of the parameter of the Laplacian error density has been chosen ...
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ANISOTROPIC ADAPTIVE KERNEL DECONVOLUTION
... multidimensional deconvolution problem; we can only mention Youndjé and Wells (2008) who consider a cross-validation method for bandwidth selection in an isotropic and ordinary smooth ...their results with ...
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Kernel deconvolution density estimation
... only small differences in performance, with a small but consistent edge for the kde-based ...that deconvolution estimators often substantially improve upon the contaminated reference in Figure ...
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Blind Deconvolution with Model Discrepancies
... In this paper, we present a novel enhanced low rank prior for blind image deblurring. The low rank properties of both intensity and gradient maps from image patches are exploited in the proposed algorithm. We present a ...
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Anisotropic adaptive kernel deconvolution
... multidimensional deconvolution problem; we can only mention Masry [1991] who considers mainly the problem of dependency between the variables without anisotropy nor adaptation, and Youndjé and Wells [2008] who ...
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Undercomplete Blind Subspace Deconvolution
... Figure 9 shows that the KCCA and KGV kernel-ISA methods give rise to high precision esti- mations on the ABC database even for small sample numbers. The KGV method was more precise for all M values studied than ...
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Revisiting Bayesian Blind Deconvolution
... non-blind deconvolution problem is also harder), the SSD ratio between the image deconvolved with the estimated kernel and the image deconvolved with the ground-truth kernel is used as the final evaluation ...
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A ridge-parameter approach to deconvolution
... gives results broadly similar to those for n = 400 in case ...show results for the kernel estimator in the setting of Figures 1 and 2 ...these results has Fourier transform (1 − t 2 ) 3 for |t| ≤ 1; ...
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Density deconvolution with epi-splines
... of deconvolution problems through constrained optimization with first-order epi-splines, which are used for the first time to approximate densities to an arbitrarily high level of ...dynamics. Results show ...
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Volatile Organic Compound Investigation Results, 300 Area, Hanford Site, Washington
... 3.1 Potential Sources for TCE, PCE, and DCE Observed in Drilling Samples Organic compounds such as TCE and PCE were used routinely in the 300 Area during fuels fabrication activities, with the greatest rate of production ...
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Transcriptional Inhibitors Identified in a 160,000-Compound Small-Molecule DUX4 Viability Screen
... DUX4 is the prime therapeutic target in FSHD. The rapid cell death caused by DUX4 in C2C12 myoblasts facilitates this system for screening of small-molecule inhibitors of DUX4 activity. A previous screen revealed ...
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A small molecule screen identifies a novel compound that induces a homeotic transformation in Hydra
... applying small molecule screens to Hydra owing to the ease with which whole animals can be exposed to chemicals in the culture ...of small molecules, and the ability to make transgenic animals allows for ...
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Small Business Virtualization Poll APJ RESULTS
... Small Business Adoption Drivers? One, of course, is the world’s economic downturn since late 2008. Except for continued (but slowing) growth in China and India, most other developed economies suffered negative ...
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