Sentence examples for compressed representations from inspiring English sources

Second, the compressed representations are further processed to identify a target in the display.

The JBIG standard provides lossless compressed representations of bi-level images for more efficient transmission and storage of these images.

Analysis of the compressed representations reveals that compressed parallel displays contain global information that enables instantaneous target detection.

A recent line of work (e.g. Daniels et al., 2013; Janin et al., 2014; Loh et al., 2012) aims at producing searchable, compressed representations of sequence information.

Because lossy compressed representations are the most widely used, we report the majority of our results using modulo-OR compressed binary fingerprints of length N=1024.

The first class of methods compute a model that succinctly describes the sequence, and assess the similarity of the sequences by analyzing their compressed representations, e.g., Kolomogorov complexity [ 11] or Universal Sequence Maps [ 12].

We also propose a new method of extracting compressed representation of dynamic hand signatures using discrete wavelet transform (DWT) and discrete fourier transform (DFT).

Referential compression is an optimization problem, where the longest matches often, but not necessarily, yield the shortest compressed representation.

Mr. Cecula has constructed an entire floor out of dried, unfired clay, into which he has cut deep holes to reveal compressed clay representations of mundane domestic objects and items from our own time, entombed in the ground as if they were ancient relics.

Adaptive and thus highly compressed spatial representations for localized fronts originating from multiresolution analysis result in important reductions of memory usage, and hence numerical simulations with sufficiently fine spatial resolution can be performed with standard computational resources.

For a given semi-discretized problem, the solution scheme provides dynamic accuracy estimates that reflect the quality of numerical results in terms of numerical errors of integration and compressed spatial representations, for general multi-dimensional problems modeled by stiff PDEs.