K. Mahantesh - researchr alias

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Viewing Publication 1 - 10 from 10

2022

VIRNet for Image Retrieval: One for All Top Based on Feature Fusion TechniqueA. Shubha Rao, K. Mahantesh, Vidhyashree Nagaraju. hci 2022: 378-386 [doi]

2021

Learning Semantic Features for Classifying Very Large Image Datasets Using Convolution Neural NetworkA. Shubha Rao, K. Mahantesh. sncs, 2(3):187, 2021. [doi]

2016

A Study and Analysis of Different Brain Tumor Segmentation TechniquesK. Mahantesh, B. V. Sandesh Kumar, V. N. Manjunath Aradhya. ficta 2017: 369-377 [doi]

2015

Benchmarking Gradient Magnitude Techniques for Image Segmentation Using CBIRK. Mahantesh, V. N. Manjunath Aradhya, B. V. Sandesh Kumar. mike 2015: 259-268 [doi]

2014

An Investigation of fSVD and Ridgelet Transform for Illumination and Expression Invariant Face RecognitionBelavadi Bhaskar, K. Mahantesh, G. P. Geetha. intelligent 2015: 31-38 [doi]

A study of subspace mixture models with different classifiers for very large object classificationK. Mahantesh, V. N. Manjunath Aradhya, S. K. Niranjan. icacci 2014: 540-544 [doi]

Coslets: A Novel Approach to Explore Object Taxonomy in Compressed DCT Domain for Large Image DatasetsK. Mahantesh, V. N. Manjunath Aradhya, S. K. Niranjan. intelligent 2015: 39-48 [doi]

An Impact of PCA-Mixture Models and Different Similarity Distance Measure Techniques to Identify Latent Image Features for Object CategorizationK. Mahantesh, V. N. Manjunath Aradhya, C. Naveena. In SIRS. 2014: 371-378 [doi]

An Exploration of Mixture Models to Maximize between Class Scatter for Object Classification in Large Image DatasetsK. Mahantesh, V. N. Manjunath Aradhya, C. Naveena. In SIRS. 2014: 451-461 [doi]

2013

An Impact of Complex Hybrid Color Space in Image SegmentationK. Mahantesh, V. N. Manjunath Aradhya, S. K. Niranjan. intelligent 2014: 73-82 [doi]

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