To further validate our method, we manually inspected a randomly selected 1% subset of the nucleotide strings and found that all were valid DNA sequences, implying that most extracted strings represent true DNA sequences.
The majority of extracted strings are likely to be bona fide DNA sequences, since out of 3443 articles published before 1960 [i.e. prior to the advent of nucleic acid sequencing (Holley et al., 1965)], only one article contains a sequence-like string (which was caused by an OCR error).
The straightforward way to extract binary strings is quantization and coding of the real-valued features.
First, when we extract path strings from the DOM tree, we save a significant amount of space, since we do not need to save a path string for every text node.
In the Yale Image Finder, Xu et al. [24] developed algorithms to extract text strings from figures and provided a figure searching tool that queries over the extracted figure text as well as caption text.
In order to test these ideas, we used APPIA to extract those STRING entries with higher scores from a set of 240,885 protein pairs above the minimal STRING confidence value of 0.15.
We extract from STRING an unbiased representative S. cerevisiae PPI subset (which we denote "predicted functional associations dataset") that are predicted using similar methods as the H37Rv STRING PPI dataset.
An improved selection method extracts the strings with the best absolute relative entropy in a group of carefully sequence-curated strains, and then uses those strings to estimate evolutionary distances.
'' associated with each reading in the EER plots indicates the corresponding length α of the extracted binary strings.
Extracting binary strings from real-valued biometric templates is a fundamental step in template compression and protection systems, such as fuzzy commitment, fuzzy extractor, secure sketch, and helper data systems.
Extracting binary strings from real-valued biometric templates is a fundamental step in many biometric template protection systems, such as fuzzy commitment, fuzzy extractor, secure sketch, and helper data systems.
