This is the Linux app named BPL whose latest release can be downloaded as BPLsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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BPL
DESCRIPTION
BPL (Bayesian Program Learning) is a MATLAB implementation of the Bayesian Program Learning framework for one-shot concept learning (especially on handwritten characters). The approach treats each concept (e.g. a character) as being generated by a probabilistic program (motor primitives, strokes, spatial relationships), and inference proceeds by fitting those generative programs to a single example, generalizing to new examples, and generating new exemplars. The repository contains code for parsing stroke sequences, fitting motor programs, exemplar generation, classification, re-fitting, and demonstration scripts.
Features
- Motor program / stroke fitting to interpret character generation
- One-shot classification (given one example, classify novel ones)
- Exemplar generation (produce novel variants of a concept)
- Re-fitting of models (adjust generative programs for new data)
- Demo scripts illustrating parsing, classification, exemplar generation
- Support functions for generative priors, optimization, stroke utilities
Programming Language
MATLAB
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/bpl.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
