Anil K. Jain

Statistical pattern recognition: a review

The primary goal of pattern recognition is supervised or unsupervised classification. Among the various frameworks in which pattern recognition has been traditionally formulated...

Feature selection: evaluation, application, and small sample performance

A large number of algorithms have been proposed for feature subset selection. Our experimental results show that the sequential forward floating selection algorithm, proposed by...

Small sample size effects in statistical pattern recognition: recommendations for practitioners

The effects of sample size on feature selection and error estimation for several types of classifiers are discussed. The focus is on the two-class problem. Classifier design in ...

Data clustering

Clustering is the unsupervised classification of patterns (observations, data items, or feature vectors) into groups (clusters). The clustering problem has been addressed in man...

Data clustering: 50 years beyond K-means

Writer adaptation for online handwriting recognition

Writer-adaptation is the process of converting a writer-independent handwriting recognition system into a writer-dependent system. It can greatly increasing recognition accuracy...