factor-graph
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matlab/c++ factor graph framework
function mot3() % create system objects used for reading video, detecting moving objects, % and displaying the results obj = setupSystemObjects(); tracks = initializeTracks(); % create an empty array of...
Would be nice to have some more involved methods for the framework, such as Bayesian PCA (see http://research.microsoft.com/apps/pubs/default.aspx?id=67157 )
currently, only constant parents for both gamma and Wishart distributions are supported. This does not allow hierarchical variance modelig e.g. like in http://arxiv.org/abs/1207.1380 It is possible to tackle this problem...
speed up
training a model with 32 mixtures currently takes around 1.5 seconds. since networks are entirely independent, it should be possible to multithread (c++11 ThreadPool implementation - https://github.com/en4bz/ThreadPool) Also, when fitted,...
Tests for basic nodes are needed, as well as for basic examples like gaussian mixtures. Both for C++ and later for matlab bindings
Think of how to automatically generate inference algorithm. Either dynamically using the structure of the network or using code generation.
Hello, I intend to port your project to java. Is it ok with you if I do so ? Thanks.
create a demo application - object tracking using the toolbox. something like this: http://www.mathworks.nl/products/matlab-coder/examples.html?file=/products/demos/shipping/coder/coderdemo_kalman_filter.html
Many examples as well as tests start by defining a linear dynamical system network followed by some effect that you want to demonstrate, eg demonstrate or test drawing the network,...