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pro vyhledávání: '"Bora, Dibya Jyoti"'
Autor:
Tamang, Sagar, Bora, Dibya Jyoti
Training of a tokenizer plays an important role in the performance of deep learning models. This research aims to understand the performance of tokenizers in five state-of-the-art (SOTA) large language models (LLMs) in the Assamese language of India.
Externí odkaz:
http://arxiv.org/abs/2410.03718
Autor:
Bora, Dibya Jyoti
Publikováno v:
Indian J.Sci.Res. 15 (1): 115-131, 2017
Color image segmentation is a very emerging research topic in the area of color image analysis and pattern recognition. Many state-of-the-art algorithms have been developed for this purpose. But, often the segmentation results of these algorithms see
Externí odkaz:
http://arxiv.org/abs/1708.05081
Autor:
Bora, Dibya Jyoti, Gupta, Anil Kumar
In computer vision, image segmentation is always selected as a major research topic by researchers. Due to its vital rule in image processing, there always arises the need of a better image segmentation method. Clustering is an unsupervised study wit
Externí odkaz:
http://arxiv.org/abs/1506.01710
Color image segmentation is a very emerging topic for image processing research. Since it has the ability to present the result in a way that is much more close to the human yes perceive, so todays more research is going on this area. Choosing a prop
Externí odkaz:
http://arxiv.org/abs/1506.01472
Akademický článek
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Autor:
Bora, Dibya Jyoti, Gupta, Anil Kumar
Publikováno v:
International Journal of Research in Computer Applications and Robotics, ISSN 2320-7345, Vol.2, Issue.7, Pg.: 115-124 July 2014
Image processing is an important research area in computer vision. Image segmentation plays the vital rule in image processing research. There exist so many methods for image segmentation. Clustering is an unsupervised study. Clustering can also be u
Externí odkaz:
http://arxiv.org/abs/1407.8121
Autor:
Bora, Dibya Jyoti, Gupta, Anil Kumar
Soft Clustering plays a very important rule on clustering real world data where a data item contributes to more than one cluster. Fuzzy logic based algorithms are always suitable for performing soft clustering tasks. Fuzzy C Means (FCM) algorithm is
Externí odkaz:
http://arxiv.org/abs/1406.4007
Publikováno v:
International Journal of Computer Trends and Technology (IJCTT) V10(2):108-113, Apr 2014. ISSN:2231-2803
Data clustering is an important area of data mining. This is an unsupervised study where data of similar types are put into one cluster while data of another types are put into different cluster. Fuzzy C means is a very important clustering technique
Externí odkaz:
http://arxiv.org/abs/1404.6059
Autor:
Bora, Dibya Jyoti
Publikováno v:
In Big Data Analytics for Intelligent Healthcare Management, Volume Three 2019:43-57
Publikováno v:
Ingeniería Solidaria; 2019, Vol. 15 Issue 29, p1-22, 22p