TY - GEN
T1 - On Parzen windows classifiers
AU - Peng, Jing
AU - Seetharaman, Guna
PY - 2015/2/12
Y1 - 2015/2/12
N2 - Parzen Windows classifiers have been applied to a variety of density estimation as well as classification tasks with considerable success. Parzen Windows are known to converge in the asymptotic limit. However, there is a lack of theoretical analysis on their performance with finite samples. In this paper we show a connection between Parzen Windows and the regularized least squares algorithm, which has a well-established foundation in computational learning theory. This connection allows us to provide useful insight into Parzen Windows classifiers and their performance in finite sample settings. Finally, we show empirical results on the performance of Parzen Windows classifiers using a number of real data sets.
AB - Parzen Windows classifiers have been applied to a variety of density estimation as well as classification tasks with considerable success. Parzen Windows are known to converge in the asymptotic limit. However, there is a lack of theoretical analysis on their performance with finite samples. In this paper we show a connection between Parzen Windows and the regularized least squares algorithm, which has a well-established foundation in computational learning theory. This connection allows us to provide useful insight into Parzen Windows classifiers and their performance in finite sample settings. Finally, we show empirical results on the performance of Parzen Windows classifiers using a number of real data sets.
UR - http://www.scopus.com/inward/record.url?scp=84937907295&partnerID=8YFLogxK
U2 - 10.1109/AIPR.2014.7041924
DO - 10.1109/AIPR.2014.7041924
M3 - Conference contribution
T3 - Proceedings - Applied Imagery Pattern Recognition Workshop
BT - 2014 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2014
Y2 - 14 October 2014 through 16 October 2014
ER -