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Kadappagari Vijaya

Kadappagari Vijaya Kumar – Vijaya Kumar Kadappa

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affiliation: BMS College of Engineering, Bangalore, India

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Journal Articles

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2019
[j6]
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Vijaya Kumar Kadappa, Shivaraju Nagesh:
Local support-based partition algorithm for frequent pattern mining. Pattern Anal. Appl. 22(3): 1137-1147 (2019)
2016
[j5]
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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]
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Vijaya Kumar Kadappa, Atul Negi:
Global Modular Principal Component Analysis. Signal Process. 105: 381-388 (2014)
2013
[j3]
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Vijaya Kumar Kadappa, Atul Negi:
Computational and space complexity analysis of SubXPCA. Pattern Recognit. 46(8): 2169-2174 (2013)
2008
[j2]
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Kadappagari Vijaya Kumar, Atul Negi:
SubXPCA and a generalized feature partitioning approach to principal component analysis. Pattern Recognit. 41(4): 1398-1409 (2008)
[j1]
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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)

Conference and Workshop Papers

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2014
[c3]
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Vijaya Kumar Kadappa, Atul Negi:
Divide-and-Conquer Computational Approach to Principal Component Analysis. FICTA (1) 2014: 641-649
2010
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  - conf/icpr/NegiK10
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Atul Negi, Vijaya Kumar Kadappa:
SubXPCA versus PCA: A Theoretical Investigation. ICPR 2010: 4170-4173
2007
[c1]
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  - electronic edition @ u-tokyo.ac.jp (open access)
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Kadappagari Vijaya Kumar, Atul Negi:
A Novel Approach to Eigenpalm Features Using Feature-Partitioning Framework. MVA 2007: 29-32

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