Zobrazeno 1 - 10
of 112
pro vyhledávání: '"Nasrollah Moghadam Charkari"'
Publikováno v:
International Journal of Information and Communication Technology Research, Vol 13, Iss 4, Pp 36-42 (2021)
In this study, an image retrieval system is proposed based on complex network model. Assuming a prior image categorization, firstly, a multilayered complex network is constructed between the images of each category according to the color, texture, an
Externí odkaz:
https://doaj.org/article/5aabac98721d4e628b107d3ac3ffc32f
Publikováno v:
Machine Learning with Applications, Vol 9, Iss , Pp 100369- (2022)
Word Sense Disambiguation (WSD) is one of the earliest problems in natural language processing which aims to determine the correct sense of words in context. The semantic information provided by WSD systems is highly beneficial to many tasks such as
Externí odkaz:
https://doaj.org/article/001e6d7867334fe9a2acfba1b631a7b7
Publikováno v:
IET Computer Vision, Vol 11, Iss 8, Pp 623-632 (2017)
A study on one of the most important issues in a human action recognition task, i.e. how to create proper data representations with a high‐level abstraction from large dimensional noisy video data, is carried out. Most of the recent successful stud
Externí odkaz:
https://doaj.org/article/7d28c589ff77481ab543994ccefb3cae
Publikováno v:
Journal of Grid Computing. 21
Publikováno v:
International Journal of Information and Communication Technology Research, Vol 8, Iss 1, Pp 9-14 (2016)
Link prediction in complex networks aims to explore similarities between node pairs. Recently, link prediction has been considered in the presence of network heterogeneity which makes the majority of the homogeneous link prediction approaches infeasi
Externí odkaz:
https://doaj.org/article/bcf6e45bfc1b4b5bb95fe7c8f302d7d1
Publikováno v:
IEEE Transactions on Computational Social Systems. :1-9
Publikováno v:
Social Network Analysis and Mining. 12
Publikováno v:
Neural Processing Letters. 52:187-220
Long term temporal representation methods demand high computational cost, restricting their practical use in real world applications. We propose a two-step deep residual method for efficiently learning long-term discriminative temporal representation
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
International Journal of Information and Communication Technology Research, Vol 4, Iss 2, Pp 1-10 (2012)
Regression modeling in sensor networks is a difficult task due to (i) the network data is distributed among the nodes and (ii) the restricted capabilities of the sensor nodes, such as limited power supply and bandwidth capacity. Recently, some distri
Externí odkaz:
https://doaj.org/article/28107c92229447a2b1191e14c74cb533