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Adaptive Prediction Trees
Found 4 file extension associations related to Adaptive Prediction Trees and 1 file format developed specifically for use with Adaptive Prediction Trees.
Platform, operating system: 
Microsoft Windows
Go to: Adaptive Prediction Trees description
Adaptive Prediction Trees website
Developer: John Robinson
Adaptive Prediction Trees
Developer / company: John Robinson
APT uses principal components analysis, a multicomponent image pyramid, shape-adaptive non-linear predictions, adaptive runlength and Huffman coding. It also supports coding with colour palettes where appropriate. No part of APT is patented (but see the note below on the palette ordering method in the provided source code).
APT is inherently progressive, and a straightforward modification of the decoder to write directly to an on-screen picture buffer allows simple, progressive, image recovery.
Adaptive Prediction Trees works with the following file extensions:
Note: You can click on any file extension link from the list below, to view its detailed information. The list of extensions used or otherwise associated with the application may not be complete, because many common file extensions on our website, such as jpg (pictures) or txt (text files), can be opened by a large number of applications, or are too general file format. However most, if not all directly associated file extensions should be listed with its appropriate program. Although its likely, that some file extensions may be missing from the list of associated file extensions with the application, yet they can be opened, be part of, or otherwise be associated with the program.
Adaptive Prediction Trees default file extension associations
.apt
Other file extensions associated with Adaptive Prediction Trees
Comparison table of actions that Adaptive Prediction Trees can perform with each of its associated file type beta
This table might not contain all possible associated or supported file types or may contain incorrect data.
If you need more information please contact the developers of Adaptive Prediction Trees (John Robinson), or check out their product website.
