MeganckSajdakWu: Difference between revisions
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The feature vector for our experiment is constructed by reshaping the cone-absorption matrix to a single vector in row(column?)-major order form. | The feature vector for our experiment is constructed by reshaping the cone-absorption matrix to a single vector in row(column?)-major order form. | ||
=== Nearest Neighbor === | === K-Nearest Neighbor === | ||
=== Naive Bayes === | === Naive Bayes === | ||
=== Support Vector Machine === | === Support Vector Machine === | ||
Revision as of 23:32, 17 February 2014
We r tha first group to make our page
Predicting Human Performance Using ISETBIO. Ryan Meganck, Adam Sajdak, Stephen Wu.
Introduction
Vernier acuity is?
Methods
Data
Test scenes were generated in MATLAB using [].
The feature vector for our experiment is constructed by reshaping the cone-absorption matrix to a single vector in row(column?)-major order form.
K-Nearest Neighbor
Naive Bayes
Support Vector Machine
Results
Naive Bayes
Support Vector Machine
Conclusions
References
Paper paper paper
Appendix I
Source code Result images