Kadappagari Vijaya

According to our database, Kadappagari Vijaya authored at least 13 papers between 2007 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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

2022

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

2019

Local support-based partition algorithm for frequent pattern mining.

Vijaya Kumar Kadappa, Shivaraju Nagesh

Pattern Anal. Appl., 2019

Frequent Itemsets Based Partitioning Approach to Decision Tree Classifier.

Shankru Guggari, Vijayakumar Kadappa, Umadevi V

Proceedings of the Mining Intelligence and Knowledge Exploration, 2019

2017

Bi-directional partitioning approach to frequent item mining.

Vijayakumar Kadappa

Proceedings of the 2017 International Conference on Advances in Computing, 2017

2016

A theoretical investigation of feature partitioning principal component analysis methods.

Vijaya Kumar Kadappa, Atul Negi

Pattern Anal. Appl., 2016

2014

Global Modular Principal Component Analysis.

Vijaya Kumar Kadappa, Atul Negi

Signal Process., 2014

Divide-and-Conquer Computational Approach to Principal Component Analysis.

Vijaya Kumar Kadappa, Atul Negi

Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014, 2014

2013

Computational and space complexity analysis of SubXPCA.

Vijaya Kumar Kadappa, Atul Negi

Pattern Recognit., 2013

2010

SubXPCA versus PCA: A Theoretical Investigation.

Atul Negi, Vijaya Kumar Kadappa

Proceedings of the 20th International Conference on Pattern Recognition, 2010

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 and a generalized feature partitioning approach to principal component analysis.

Kadappagari Vijaya Kumar, Atul Negi

Pattern Recognit., 2008

2007

A Novel Approach to Eigenpalm Features Using Feature-Partitioning Framework.

Kadappagari Vijaya Kumar, Atul Negi

Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2007), 2007