A Novel Approach to Eigenpalm Features Using Feature-Partitioning Framework. - Kadappagari Vijaya Kumar; Atul Negi (MVA, 2007)

SubXPCA and a generalized feature partitioning approach to principal component analysis. - Kadappagari Vijaya Kumar; Atul Negi (Pattern Recognit., 2008)

Novel approaches to principal component analysis of image data based on feature partitioning framework. - Kadappagari Vijaya Kumar; Atul Negi (Pattern Recognit. Lett., 2008)

SubXPCA versus PCA: A Theoretical Investigation. - Atul Negi; Vijaya Kumar Kadappa (ICPR, 2010)

Computational and space complexity analysis of SubXPCA. - Vijaya Kumar Kadappa; Atul Negi (Pattern Recognit., 2013)

Divide-and-Conquer Computational Approach to Principal Component Analysis. - Vijaya Kumar Kadappa; Atul Negi (FICTA (1), 2014)

Global Modular Principal Component Analysis. - Vijaya Kumar Kadappa; Atul Negi (Signal Process., 2014)

A theoretical investigation of feature partitioning principal component analysis methods. - Vijaya Kumar Kadappa; Atul Negi (Pattern Anal. Appl., 2016)

Bi-directional partitioning approach to frequent item mining. - Vijayakumar Kadappa (ICACCI, 2017)

Frequent Itemsets Based Partitioning Approach to Decision Tree Classifier. - Shankru Guggari; Vijayakumar Kadappa; Umadevi V (MIKE, 2019)

Local support-based partition algorithm for frequent pattern mining. - Vijaya Kumar Kadappa; Shivaraju Nagesh (Pattern Anal. Appl., 2019)

Music rhythm tree based partitioning approach to decision tree classifier. - Shankru Guggari; Vijayakumar Kadappa; Umadevi V; Ajith Abraham (J. King Saud Univ. Comput. Inf. Sci., 2022)

Deep learning architectures for detection of acute myeloid leukemia. - Niteesh Kempusagara Ramesh; Vijayakumar Kadappa; Rajeshwari Devi Doddapoojari Veerabhaskar; Divijendranatha Reddy Sirigiri; Pooja Tekal Sreedhar (Int. J. Comput. Sci. Eng., 2025)