A single parameter value that represents the difference between the original and the digitized characters is determined from a binary scan of a test chart. It represents the combi...
Pattern detection problems require a separation between two classes, Target and Clutter, where the probability of the former is substantially smaller compared to that of the latte...
A very large dataset of handwritten Farsi digits is introduced. Binary images of 102,352 digits were extracted from about 12,000 registration forms of two types, filled by B.Sc. ...
We present a method for initialising the K-means clustering algorithm. Our method hinges on the use of a kd-tree to perform a density estimation of the data at various locations. ...
Receiver Operating Characteristics (ROC) graphs are a useful technique for organizing classifiers and visualizing their performance. ROC graphs have been used in cost-sensitive le...