V. Vijaya Saradhi

According to our database1, V. Vijaya Saradhi authored at least 18 papers between 2001 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
View incremental decremental multi-view discriminant analysis.
Appl. Intell., June, 2023

2022
2D Multi-view Discriminant Analysis.
Inf. Sci., 2022

2021
Multi-view Incremental Discriminant Analysis.
Inf. Fusion, 2021

Learning Strength and Weakness Rules of Cricket Players Using Association Rule Mining.
Proceedings of the Machine Learning and Data Mining for Sports Analytics, 2021

2018
Scalability of correlation clustering.
Pattern Anal. Appl., 2018

Fixation-indices based correlation between text and image visual features of webpages.
Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications, 2018

2017
From Multimodal to Unimodal Webpages for Developing Countries.
CoRR, 2017

2016
Incremental maximum margin clustering.
Pattern Anal. Appl., 2016

2015
Effective Parameter Tuning of SVMs Using Radius/Margin Bound Through Data Envelopment Analysis.
Neural Process. Lett., 2015

2014
Scalability of Correlation Clustering Through Constraint Reduction.
Proceedings of the 1st IKDD Conference on Data Sciences, Delhi, India, March 21 - 23, 2014, 2014

2011
Employee churn prediction.
Expert Syst. Appl., 2011

2008
On the stability and bias-variance analysis of sparse SVMs.
Neurocomputing, 2008

Kernel-based online machine learning and support vector reduction.
Neurocomputing, 2008

Topic Distillation using Support Vector Data Description.
Proceedings of the 14th International Conference on Management of Data, 2008

2007
Classifier Complexity Reduction by Support Vector Pruning in Kernel Matrix Learning.
Proceedings of the Computational and Ambient Intelligence, 2007

Error Estimation for Kernel Matrix Learning Through Leave-One-Out-Kernel Bootstrap.
Proceedings of the 3rd Indian International Conference on Artificial Intelligence, 2007

On the Stability and Bias-Variance Analysis of Kernel Matrix Learning.
Proceedings of the Advances in Artificial Intelligence, 2007

2001
Bootstrapping for efficient handwritten digit recognition.
Pattern Recognit., 2001


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