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Kadappagari Vijaya
Person information
- affiliation: BMS College of Engineering, Bangalore, India
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2010 – 2019
- 2019
- [j6]Vijaya Kumar Kadappa, Shivaraju Nagesh:
Local support-based partition algorithm for frequent pattern mining. Pattern Anal. Appl. 22(3): 1137-1147 (2019) - 2016
- [j5]Vijaya Kumar Kadappa, Atul Negi:
A theoretical investigation of feature partitioning principal component analysis methods. Pattern Anal. Appl. 19(1): 79-91 (2016) - 2014
- [j4]Vijaya Kumar Kadappa, Atul Negi:
Global Modular Principal Component Analysis. Signal Process. 105: 381-388 (2014) - [c3]Vijaya Kumar Kadappa, Atul Negi:
Divide-and-Conquer Computational Approach to Principal Component Analysis. FICTA (1) 2014: 641-649 - 2013
- [j3]Vijaya Kumar Kadappa, Atul Negi:
Computational and space complexity analysis of SubXPCA. Pattern Recognit. 46(8): 2169-2174 (2013) - 2010
- [c2]Atul Negi, Vijaya Kumar Kadappa:
SubXPCA versus PCA: A Theoretical Investigation. ICPR 2010: 4170-4173
2000 – 2009
- 2008
- [j2]Kadappagari Vijaya Kumar, Atul Negi:
SubXPCA and a generalized feature partitioning approach to principal component analysis. Pattern Recognit. 41(4): 1398-1409 (2008) - [j1]Kadappagari Vijaya Kumar, Atul Negi:
Novel approaches to principal component analysis of image data based on feature partitioning framework. Pattern Recognit. Lett. 29(3): 254-264 (2008) - 2007
- [c1]Kadappagari Vijaya Kumar, Atul Negi:
A Novel Approach to Eigenpalm Features Using Feature-Partitioning Framework. MVA 2007: 29-32
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