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V. Vijaya Saradhi
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2020 – today
- 2024
- [e1]Stéphane Devismes
, Partha Sarathi Mandal
Distributed Computing and Intelligent Technology - 20th International Conference, ICDCIT 2024, Bhubaneswar, India, January 17-20, 2024, Proceedings. Lecture Notes in Computer Science 14501, Springer 2024, ISBN 978-3-031-50582-9 [contents] - [i3]Nilmadhab Das, Vishal Choudhary, V. Vijaya Saradhi, Ashish Anand:
End-to-End Argument Mining as Augmented Natural Language Generation. CoRR abs/2406.08606 (2024) - [i2]Alik Pramanick, Arijit Sur, V. Vijaya Saradhi:
Harnessing Multi-resolution and Multi-scale Attention for Underwater Image Restoration. CoRR abs/2408.09912 (2024) - 2023
- [j10]Saroj S. Shivagunde
View incremental decremental multi-view discriminant analysis. Appl. Intell. 53(11): 13593-13607 (2023) - 2022
- [j9]Saroj S. Shivagunde
2D Multi-view Discriminant Analysis. Inf. Sci. 586: 391-407 (2022) - 2021
- [j8]Saroj S. Shivagunde
Multi-view Incremental Discriminant Analysis. Inf. Fusion 68: 149-160 (2021) - [c8]Swarup Ranjan Behera, V. Vijaya Saradhi:
Learning Strength and Weakness Rules of Cricket Players Using Association Rule Mining. MLSA@PKDD/ECML 2021: 79-92
2010 – 2019
- 2018
- [j7]Mamata Samal, V. Vijaya Saradhi, Sukumar Nandi
Scalability of correlation clustering. Pattern Anal. Appl. 21(3): 703-719 (2018) - [c7]Sandeep Vidyapu
Fixation-indices based correlation between text and image visual features of webpages. ETRA 2018: 53:1-53:5 - 2017
- [i1]Sandeep Vidyapu
From Multimodal to Unimodal Webpages for Developing Countries. CoRR abs/1711.02068 (2017) - 2016
- [j6]V. Vijaya Saradhi, P. Charly Abraham:
Incremental maximum margin clustering. Pattern Anal. Appl. 19(4): 1057-1067 (2016) - 2015
- [j5]V. Vijaya Saradhi, K. R. Girish:
Effective Parameter Tuning of SVMs Using Radius/Margin Bound Through Data Envelopment Analysis. Neural Process. Lett. 41(1): 125-138 (2015) - 2014
- [c6]Mamata Samal, V. Vijaya Saradhi, Sukumar Nandi:
Scalability of Correlation Clustering Through Constraint Reduction. CODS 2014: 1-10 - 2011
- [j4]V. Vijaya Saradhi, Girish Keshav Palshikar:
Employee churn prediction. Expert Syst. Appl. 38(3): 1999-2006 (2011)
2000 – 2009
- 2008
- [j3]Sumeet Agarwal
Kernel-based online machine learning and support vector reduction. Neurocomputing 71(7-9): 1230-1237 (2008) - [j2]V. Vijaya Saradhi, Harish Karnick:
On the stability and bias-variance analysis of sparse SVMs. Neurocomputing 72(1-3): 659-663 (2008) - [c5]V. Vijaya Saradhi, Harish Karnick, Pabitra Mitra:
Topic Distillation using Support Vector Data Description. COMAD 2008: 93-103 - 2007
- [c4]V. Vijaya Saradhi, Harish Karnick:
On the Stability and Bias-Variance Analysis of Kernel Matrix Learning. Canadian AI 2007: 441-451 - [c3]Sumeet Agarwal, V. Vijaya Saradhi, Harish Karnick:
Kernel-based online machine learning and support vector reduction. ESANN 2007: 343-348 - [c2]V. Vijaya Saradhi, Harish Karnick:
Error Estimation for Kernel Matrix Learning Through Leave-One-Out-Kernel Bootstrap. IICAI 2007: 1071-1088 - [c1]V. Vijaya Saradhi, Harish Karnick:
Classifier Complexity Reduction by Support Vector Pruning in Kernel Matrix Learning. IWANN 2007: 268-275 - 2001
- [j1]V. Vijaya Saradhi, M. Narasimha Murty:
Bootstrapping for efficient handwritten digit recognition. Pattern Recognit. 34(5): 1047-1056 (2001)
Coauthor Index
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