Sentence examples for separation of image from inspiring English sources

The secrecy surrounding the bombing of Cambodia and the warrantless wiretaps had turned out to be only the first steps in a far broader separation of image and substance in the Nixon Administration's conduct of its affairs.

However, these algorithms cannot be applied to a real-time system because they have a significant latency time due to the complexity of the algorithm; the latency is further worsened by the separation of image readout and image processing because image processing cannot being until the entire image is read out and restored.

than for their respective power spectra (6.1±2.2 S.D ., suggesting that the Fourier spectra allow for a better separation of the image categories than the original images.

Tumblin and Rushmeier used this approach for displaying high-contrast synthetic images [3], where the material properties of the surfaces and the illumination are known at each point in the image, making it possible to compute a perfect separation of an image to layers of lightning and surface properties.

Using different fluorescent excitation and spectral separation of the images we succeeded in simultaneously imaging both angiogenesis and cathepsin B activity in the same tissue and 3-dimensional space.

Separation of the images in the two eyes results from the presence of objects in different depth planes, and it can be assumed that V2 provides a major input to the third dimension in the perceived world.

Moreover, we find that in contrast to most commercial bifocal lenses, the lens of E2 exhibits asymmetry, which results in separation of the images both dorsoventrally and rostrocaudally within the layered retina.

I liked the separation of type and image, but it didn't have as much emotion.

In fact, President Nixon's separation of word (or image) and deed (or substance) in the domestic sphere had merely extended a separation of word and deed in the foreign sphere which was of long standing.

In this study, we look at a factor analysis model for source separation of multi-spectral image data where prior information about the sources and their dependencies is quantified as a multivariate Gaussian mixture model with an unknown number of factors.

In this study, we present a dependent components model for source separation of multi-spectral image data, where prior information about the sources and between-source dependencies is quantified as a multivariate GMM, using variational Bayes techniques for model parameter estimation.