Towards a Minimum Description Length Based Stopping
Criterion for Semi-Supervised Time Series Classification
Nurjahan Begum, Bing Hu, Thanawin
Rakthanmanon, Eamonn Keogh
================================================================================================================================================
Supporting Material
1.
Slide*
showing all figures in better resolution
2.
Matlab source
code (SSL*,
MDL*)
MIT-BIH Supraventricular Arrhythmia Database
|
1.
A heartbeat
dataset from the PhysioBank ATM. (Dataset: svdb, Record: 801, Signal: ECG1)
2.
Mirror*
of the data
St. Petersburg Arrhythmia Database
|
1.
A heartbeat
dataset from the PhysioBank ATM. (Dataset: incartdb, Record: I70, Signal: II)
2.
Mirror*
of the data
Sudden Cardiac Death Holter Database
|
1.
A heartbeat
dataset from the PhysioBank ATM. (Dataset: sddb, Record:52, Signal: ECG(1st))
2.
Mirror*
of the data
Swedish Leaf Dataset
Ulmus
carpinifolia |
Acer platanoides |
Ulmus |
Quercus robur |
Alnus incana |
||||||||||
Tilia |
Salix fragilis |
Populus tremula |
Corylus avellana |
Sorbus aucuparia |
||||||||||
Prunus padus |
Tilia |
Populus |
Sorbus hybrida |
Fagus silvatica |
*Oskar J. O.
Soderkvist. Computer Vision Classification of Leaves from Swedish Trees, Master
thesis, Linkoping University, Sweden, 2001.
1.
Contains leaf
images from 15 tree classes. The images are converted to time series.
2.
Mirror*
of the data
3.
Seed instance
chosen for experiment: Fagus silvatica
Fish Dataset
|
*image ref:
http://jmotif.googlecode.com/svn/trunk/RCode/fish/fish.png
1.
Contains fish
images and contains 7 classes. The images are converted to time series.
2.
Mirror*
of the data
3.
Seed instance
chosen for experiment: class 2
Face_all Dataset
|
*image ref:
http://jmotif.googlecode.com/svn/trunk/RCode/faceAll/all_classes.png
1.
Contains face
shapes and is of 14 classes. The images are converted to time series.
2.
Mirror*
of the data
3.
Seed instance
chosen for experiment: class 2
Extra Experiments
Extra experiments expressing the generality of our algorithm can be
found from here*.
* All files are password protected, for the password please send an email to: nbegu001 "at" cs "dot" ucr "dot" edu