Zobrazeno 1 - 10
of 65
pro vyhledávání: '"K. Srikanta Murthy"'
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Journal of Computational and Theoretical Nanoscience. 15:3328-3333
Autor:
K. Srikanta Murthy, S. Karthik
Publikováno v:
Cluster Computing. 22:4673-4681
Even though various advances have been made in recent years, the recognition of handwritten characters is still an open challenge in the Pattern Recognition field. Different approaches are invented for the recognition of printed characters of Indian
Publikováno v:
International Journal of Computer Applications. 154:37-46
Autor:
K. Srikanta Murthy, R. Sangeetha
Publikováno v:
2017 International Conference on Inventive Systems and Control (ICISC).
Breast Cancer is highly predominant in women in today's world. It can start in the breast and can spread to other areas of the body in the course of time. Breast cancer is the second largest disease leading to the death of women. The disease is curab
Publikováno v:
Advances in Chaos Theory and Intelligent Control ISBN: 9783319303383
Advances in Chaos Theory and Intelligent Control
Advances in Chaos Theory and Intelligent Control
The recent science and technology studies in neuroscience and machine learning have focused attention on investigating the functioning of the brain through nonlinear analysis. The brain is a nonlinear dynamic system, imparting randomness and nonlinea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bdbfa7c1a90a11fff9f71b5e7c6392a1
https://doi.org/10.1007/978-3-319-30340-6_25
https://doi.org/10.1007/978-3-319-30340-6_25
Publikováno v:
Advanced Materials Research. :5354-5358
Data Clustering is considered as an interesting approach for finding similarities in data and putting similar data into groups. Clustering partitions a data set into several groups such that the similarity within a group is larger than that among gro
Publikováno v:
Journal of the Indian Society of Remote Sensing. 37:185-199
Image compression forms the backbone for several applications such as storage of images in a database, picture archiving, TV and facsimile transmission, and video conferencing. Compression of images involves taking advantage of the redundancy in the
Publikováno v:
International Journal of Image and Graphics. :299-320
Images have large data quantity. For storage and transmission of images, high efficiency image compression methods are under wide attention. In this paper, we propose a neuro- wavelet based model for image compression, which combines the advantages o
Publikováno v:
2015 International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT).
This paper presents a novel multikernel based Sparse representation for the classification of Remotely sensed images. The sparse representation based feature extraction are in a run which is a signal dependent feature extraction and thus more accurat