S. Rajashekararadhya

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A Comprehensive Literature Review on Face Recognition Approaches

S. Rajashekararadhya, 2020 .

Handwritten Numeral Recognition of Kannada Script

S. Rajashekararadhya, 2009 .

Fuzzy Methodology for Enhancing the Classification Accuracy ofSpectral Correlation Mapper Classifier:A Case Study over North Canara District, India

S. Rajashekararadhya, 2017 .

A Comparative Study of Pixel Based Supervised Classification and Fuzzy- Supervised Classification over Area around Mysore District

S. Rajashekararadhya, 2013 .

Performance Analysis of Spectral Angle Mapper and Spectral Information Divergence Classifiers; A Case Study using Homogeneous and Heterogeneous Remotely Sensed Data

S. Rajashekararadhya, 2017 .

Investigation on Land Cover Mapping of Large RS Imagery Using Fuzzy Based Maximum Likelihood Classifier

S. V. Rajashekararadhya, B. R. Shivakumar, S. Rajashekararadhya, 2018, Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB).

Classification of Landsat 8 Imagery Using Kohonen’s Self Organizing Maps and Learning Vector Quantization

S. V. Rajashekararadhya, B. R. Shivakumar, S. Rajashekararadhya, 2019 .

B. R. Shivakumar, S. V. Rajashekararadhya, S. Rajashekararadhya, 2017, 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET).

Performance évaluation of spectral angle mapper and spectral correlation mapper classifiers over multiple remote sensor data

B. R. Shivakumar, S. V. Rajashekararadhya, S. Rajashekararadhya, 2017, 2017 Second International Conference on Electrical, Computer and Communication Technologies (ICECCT).

Isolated Handwritten Kannada and Tamil Numeral Recognition: A Novel Approach

S. V. Rajashekararadhya, P VanajaRanjanP.Vanaja, N ManjunathAradhyaV.N.M., 2008, 2008 First International Conference on Emerging Trends in Engineering and Technology.

Investigation on Land Cover Mapping Capability of Maximum Likelihood Classifier: A Case Study on North Canara, India

B. R. Shivakumar, S V Rajashekararadhya, S. Rajashekararadhya, 2018 .

An Adaptive Ensemble Learning-Based Smart Face Recognition and Verification Framework with Improved Heuristic Approach

S. Rajashekararadhya, Santhosh Shivaprakash, 2023, International Journal of Electrical and Electronics Engineering.

Handwritten Numeral Recognition of Kannada Script

S. Rajashekararadhya, 2009 .

An Enhanced Face Detection System using A Novel FIS-CDNN Classifier

S. Rajashekararadhya, S. S, 2022, International Journal of Advanced Computer Science and Applications.

Handwritten Character Recognition of Kannada Scripts using Novel Feature Extraction Techniques and BMCNN Classifier

S. Rajashekararadhya, Supreetha Patel Tiptur Parashivamurthy, 2023, International Journal of Electrical and Electronics Engineering.