enow.com Web Search

Search results

1. Results from the WOW.Com Content Network

2. Smallpdf.com - Wikipedia

   en.wikipedia.org/wiki/Smallpdf.com

   The idea came from the need for their families to compress and send large documents via email. [5] The initial version of the site featured a standalone PDF compression tool. [6] Since then, the online platform has introduced over 16 PDF tools to convert, compress and edit PDF documents. [7]

3. Sumatra PDF - Wikipedia

   en.wikipedia.org/wiki/Sumatra_PDF

   In January, 2017, the latest version of SumatraPDF, 3.1.2, had a single 6.1 Mb executable file; in comparison, Adobe Reader XI used 320 MB of disk space. [9] The PDF format's use restrictions were implemented in Sumatra 0.6, [10] preventing users from printing or copying from documents that the document author restricts, a form of digital ...

4. PDF - Wikipedia

   en.wikipedia.org/wiki/PDF

   Portable Document Format (PDF), standardized as ISO 32000, is a file format developed by Adobe in 1992 to present documents, including text formatting and images, in a manner independent of application software, hardware, and operating systems.

5. Data compression ratio - Wikipedia

   en.wikipedia.org/wiki/Data_compression_ratio

   Thus, a representation that compresses the storage size of a file from 10 MB to 2 MB yields a space saving of 1 - 2/10 = 0.8, often notated as a percentage, 80%. For signals of indefinite size, such as streaming audio and video, the compression ratio is defined in terms of uncompressed and compressed data rates instead of data sizes:

6. Foxit Software - Wikipedia

   en.wikipedia.org/wiki/Foxit_Software

   Foxit Software was founded in 2001 [7] by Eugene Y. Xiong (Chinese: 熊雨前), a Chinese national with permanent residence in the United States, [4] to develop similar PDF software products to those from Adobe Systems and other PDF vendors, and offer them at lower prices. [12]

7. Data compression - Wikipedia

   en.wikipedia.org/wiki/Data_compression

   Data compression aims to reduce the size of data files, enhancing storage efficiency and speeding up data transmission. K-means clustering, an unsupervised machine learning algorithm, is employed to partition a dataset into a specified number of clusters, k, each represented by the centroid of its points.