AAREADME for sfa-tk/demo/, V2.7, V2.8

Author V2.8:   Wolfgang Konen, wolfgang.konen@fh-koeln.de

Created:          Nov’2011

Last modified: Nov’2011

(Author V1.0:  Pietro Berkes, berkes@brandeis.edu)

 

This directory contains four demo scripts from sfa-tk, V1.0.1:

·         sfatk_demo.m

·         long_dataset_demo.m

·         expansion_demo.m

·         getHf_demo.m

six demo functions from sfa-tk, V2.7:

·         drive1.m

·         class_demo1.m

·         class_demo2.m

·         class_demo2A.m

·         class_demo2B.m

·         class_CVdemo2.m

and one demo script from sfa-tk, V2.7:

·         batch_2A.m

 

Alphabetical list of files in sfa-tk/demo/

 

Alphabetical list of datasets available in sfa-tk/demo/data

Dataset

Description

pars. GENERATE_P

class_pat_gest.mat

gesture data Polak/Hein (Cologne University)

9

hk_gesture_all-norm1.mat

gesture data collected by Kristine Hein (Cologne University, from <fiwa_soma>/data/Gesture.d/WiiGestureData_KH_I/)

10

hk_gesture_set1-norm1.mat

gesture data collected by Kristine Hein (Cologne University, from <fiwa_soma>/data/Gesture.d/WiiGestureData_KH_II/)

11

iphonegesture-norm1.mat

iPhone gesture data by Daniel Bertram (Cologne University, from <fiwa_soma>/data/Gesture.d/iPhoneGestureData/)

12

vowel-context.data

vowel dataset (from UCI repository)

2

vowel-train.csv,
vowel-test.csv

vowel dataset with Renal assignment

3

wdbc.data

breast cancer dataset (from UCI repository)

4

 Notes:

·         hk_gesture_set1-norm1.mat is not part of the ZIP software distribution.

·         When running certain demos, a subdirectory sfa-tk/demo/datsave will be created for temporary save files.

 

Literature

·         [Koch10a] Koch, P., Konen, W., Hein, K., Gesture Recognition on Few Training Data using Slow Feature Analysis and Parametric Bootstrap. In P. Sobrevilla (ed.), Proc. IEEE World Congress on Computational Intelligence (WCCI), Barcelona, July 2010. (PDF)

·         [Konen11a] Konen, W. (2011). Der SFA-Algorithmus für Klassifikation. CIOP Technical Report 08/2011, Cologne University of Applied Sciences.

·         [Konen11b] Konen, W. (2011). SFA classification with few training data: Improvements with parametric bootstrap. CIOP Technical Report 09/2011, Cologne University of Applied Sciences.