Subscribe: Project News: Modular Audio Recognition Framework (including full news text)
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Recent changes to news

Recent changes to news

Last Build Date: Sun, 18 Dec 2011 02:26:38 -0000


MARFCAT 0.0.1 re-released as Alpha 3

Sun, 18 Dec 2011 02:26:38 -0000

I got a missing files report in Alpha 2 release of MARFCAT 0.0.1 from SATE 2010; this has been corrected in the Alpha 3 version.

(A new updated version is being developed for future release with SATE IV).


MARF for PureData for MARF

Sun, 09 Sep 2007 20:54:47 -0000

MARF as a PureData extension is presented here:

the code of the PD externals will be put in the
CVS and released in FRS soon.

More about PureData:


MARF Surpassed 20000 downloads!

Sun, 09 Sep 2007 20:43:19 -0000

MARF Surpassed 15000 Downloads!

Sun, 01 Apr 2007 23:37:27 -0000

The subject says it all :-) As of this
post it is 15,226. And the month of March
was highest number of download ever: 1,339,
in one month!


MARF Got's PEN SMI number for IANA

Sun, 01 Apr 2007 23:34:26 -0000

On March 14, The MARF Research and Development
group got its official PEN SMI number from IANA,
which is 28218.

This is done as a part of experimental ongoing
project of SNMPv2/SMIv2 network management of
the Distributed MARF nodes. This is a subbranch
unde the Distributed MARF's branch, currently
in its beginnings of development.


Distributed MARF is in CVS!

Sun, 01 Apr 2007 23:29:35 -0000

In mid-March the CVS of Distributed MARF branch
was integrated into the main SF CVS repo of MARF
with the rest of stuff. It was made compile
with Eclipse and things got re-arranged a bit
from the PoC-demo release, so it can now
benefit from the mainstream MARF fixes and
further development under revision control.

For the developers and anonymous checkouts
from the CVS to get the distributed brach's
source code, checkout this branch:


when it is polished more and is ready, the
PoC release will be updated with all the
recent fixes and posted. The target date is


MARF Snapshot snapshot-0.3.0-devel-20070108 released

Mon, 08 Jan 2007 22:22:38 -0000

The changes in this release are as follows:
A bug has been fixed in Sample.setSampleSize() where the if()
condition would always evaluate to false when checking whether the
resulting sample is shorter or longer than the original. A bug in
custom Sample serialization where the order of writing an int and the
array data was reversed has been fixed. The comments have been updated
a bit more for the updates. Some related unit tests have been
added/fixed in order for the failures not to reoccur. The marf
mini-app's purpose has been clarified.


Web Page:

MARF's FRS Downloads surpass 10000

Tue, 31 Oct 2006 14:51:49 -0000

Just noticed MARF surpassed 10000 mark in the
downloads section that were done through SF's
File Release System (FRS). That does not count
direct downloads from the site or mirrors.
This is quite an achievment for the project
at this time!


MARF Snapshot snapshot-0.3.0-devel-20061015 released

Mon, 16 Oct 2006 01:27:47 -0000

This CVS snaphot release is primarily a bug-fix
release. See the details below.


* Fix the bug #1556320 of FeatureExtractionAggregator
dealing with NullPointerException's generated by
the aggreated modules. Since the introduction of
the new API of extractFeatures(double[]),
handling of its parameter was not done properly
when either querying a Preprocessing module or
acting directly on the parameter was reversed,
and, also a null in one case. Make it correct
and for the parameter wrap it into Raw, so the
handling is always consistent with a non-null
Preprocessing. In the process of debugging this,
enhance error reporting.

* In response to the bug# 1568848, re-introduce
explicit dump() and restore() with proper
redirection of the DUMP modes back to the
original as Classification alters them for the
training set. Additionally, prevent null oIDs
to be present when is read from the file. This
fixes the bug and makes RandomClassification
correct again.

* Fix spelling of toProperties(), per report from
Ravikant Rao. Document related methods a bit as
well as the class.


More about MARF: