Code:

  • Weka Toolkit for Data Mining and Machine Learning [html]
  • Fast Entropy Estimation and MATLAB code for ICA, by Erik Learned-Miller [html]
  • Kernel Density Estimation Toolkit for MATLAB, by Alexander Ihler [html]
  • Bayesian Classifier and GMM Toolbox for MATLAB, by Joni Kämäräinen and Pekka Paalanen [html]
  • Matlab software (including Bayes Net Toolbox), by Kevin Murphy [html]
  • Demo Software for SIFT Keypoint Detector and Matching, by David Lowe [html]
  • Sebastian Nowozin provides a C# implementation of the SIFT feature descriptor [html]
  • Code for converting SIFT features to PCA-SIFT, by Y. Ke and R. Sukthankar [html]
  • Incremental Decision Tree Induction Software, by Paul Utgoff [html]
  • Various machine learning libraries (including MALLET) and data, by Andrew McCallum [html]
  • Some basic code for machine learning and data analysis, by Sam Roweis [html]
  • Various vision and machine learning code, by Tony Jebara [html]
 

UMass Vision Group
Computer Science Building
140 Governors Drive, Rm 256
Amherst, MA 01003
USA

tel: +1-413-687-3575
fax: +1-413-545-1249
mmattar[at]cs.umass.edu