Tech report: Script Recognition with Hierarchical Feature Maps

[Risto Miikkulainen]

**********DO NOT FORWARD TO OTHER BBOARDS**************
**********DO NOT FORWARD TO OTHER BBOARDS**************
**********DO NOT FORWARD TO OTHER BBOARDS**************

The following tech report is available by anonymous ftp from the
connectionist tech report database at Ohio State:

        SCRIPT RECOGNITION WITH HIERARCHICAL FEATURE MAPS

                      Risto Miikkulainen
              Artificial Intelligence Laboratory
                  Computer Science Department
        University of California, Los Angeles, CA 90024
                      risto at cs.ucla.edu

                Technical Report UCLA-AI-89-10

The hierarchical feature map system recognizes an input story as an
instance of a particular script by classifying it at three levels:
scripts, tracks and role bindings. The recognition taxonomy, i.e. the
breakdown of each script into the relevant tracks and roles, is
extracted automatically and independently for each script from story
examples in an unsupervised learning process. The process resembles
human learning in that the differentiation of the most frequently
encountered scripts become gradually the most detailed. The resulting
structure is a hierachical pyramid of feature maps. The number of input
lines and the self-organization time required are considerably reduced
compared to ordinary single-level feature mapping. The system is capable
of recognizing incomplete stories and recovering the missing events.

---------------

Here's how to obtain a copy:

unix> ftp cheops.cis.ohio-state.edu          # (or ftp 128.146.8.62)
Name (cheops.cis.ohio-state.edu:): anonymous
Password (cheops.cis.ohio-state.edu:anonymous): neuron
ftp> cd pub/neuroprose
ftp> type binary
ftp> get
(remote-file) miikkulainen.hierarchical.ps.Z
(local-file) foo.ps.Z
119599 bytes received in 7.37 seconds (16 Kbytes/sec)
ftp> quit
unix> uncompress foo.ps
unix> lpr -P(your_local_postscript_printer) foo.ps