An Impact of Complex Hybrid Color Space in Image Segmentation. - K. Mahantesh; V. N. Manjunath Aradhya; S. K. Niranjan (ISI, 2013)

A study of subspace mixture models with different classifiers for very large object classification. - K. Mahantesh; V. N. Manjunath Aradhya; S. K. Niranjan (ICACCI, 2014)

An Investigation of fSVD and Ridgelet Transform for Illumination and Expression Invariant Face Recognition. - Belavadi Bhaskar; K. Mahantesh; G. P. Geetha (ISI (1), 2014)

Coslets: A Novel Approach to Explore Object Taxonomy in Compressed DCT Domain for Large Image Datasets. - K. Mahantesh; V. N. Manjunath Aradhya; S. K. Niranjan (ISI (1), 2014)

An Impact of PCA-Mixture Models and Different Similarity Distance Measure Techniques to Identify Latent Image Features for Object Categorization. - K. Mahantesh; V. N. Manjunath Aradhya; C. Naveena (SIRS, 2014)

An Exploration of Mixture Models to Maximize between Class Scatter for Object Classification in Large Image Datasets. - K. Mahantesh; V. N. Manjunath Aradhya; C. Naveena (SIRS, 2014)

Benchmarking Gradient Magnitude Techniques for Image Segmentation Using CBIR. - K. Mahantesh; V. N. Manjunath Aradhya; B. V. Sandesh Kumar (MIKE, 2015)

A Study and Analysis of Different Brain Tumor Segmentation Techniques. - K. Mahantesh; B. V. Sandesh Kumar; V. N. Manjunath Aradhya (FICTA (2), 2016)

Learning Semantic Features for Classifying Very Large Image Datasets Using Convolution Neural Network. - A. Shubha Rao; K. Mahantesh (SN Comput. Sci., 2021)

VIRNet for Image Retrieval: One for All Top Based on Feature Fusion Technique. - A. Shubha Rao; K. Mahantesh; Vidhyashree Nagaraju (HCI (37), 2022)