Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Najet Arous"'
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 14, Iss 1 (2020)
With the increasing availability of pen-based user interfaces, we often come upon multiple data sets of online handwritten scripts such as letters, words, etc., that are collected based on a viable interface. In this paper, we set forward a new metho
Externí odkaz:
https://doaj.org/article/d3796fe939f24dc0947016f4a375f99d
Publikováno v:
International Journal of Machine Learning and Cybernetics.
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030711863
ISDA
ISDA
Facing the increasing fast pace that technological progress is witnessing with the proliferation of new technologies and the growing touch-based devices, research works on Online Handwriting Recognition (OHR) have vastly broadened. In this paper, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd19f698a77a107ee15058aab6d974ed
https://doi.org/10.1007/978-3-030-71187-0_82
https://doi.org/10.1007/978-3-030-71187-0_82
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 14, Iss 1 (2020)
With the increasing availability of pen-based user interfaces, we often come upon multiple data sets of online handwritten scripts such as letters, words, etc., that are collected based on a viable interface. In this paper, we set forward a new metho
Publikováno v:
ATSIP
Nowadays emotion recognition has become the most interesting topic due its important role in Human Computer Interaction (HCI). Speech emotion recognition is a part of this topic which is gaining more popularity in the last years. To recognize emotion
Publikováno v:
ICMV
Spatial relations are important ingredients for the interpretation of global meaning of structured objects as well as resolving the uncertainty caused by the ambiguities in the feature extraction stage. In this paper, we present a fuzzy rulebased sys
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319942100
ICISP
ICISP
In the last few years, multi-view clustering has arisen in a large variety of applications. Properly, the clustering performance is greatly improved by exploiting the rich information among the different views. To this end, we propose a new method wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e95dd9767deb5f512a26aaf0217c3b84
https://doi.org/10.1007/978-3-319-94211-7_24
https://doi.org/10.1007/978-3-319-94211-7_24
Publikováno v:
AICCSA
In this study, we introduce a novel hybrid collaboration clustering architecture, in which several subsets of patterns can be processed together with an objective of finding a common structure. The structure revealed at the global level is determined
Publikováno v:
2017 14th International Conference on Computer Graphics, Imaging and Visualization.
Feature selection aims to diminish dimensionality for construct comprehensible learning models with good generalization performance. Feature selection methods are mostly studied independently according to the type of learning: supervised or unsupervi
Publikováno v:
ICMV
Ensemble learning has succeeded in the growth of stability and clustering accuracy, but their runtime prohibits them from scaling up to real-world applications. This study deals the problem of selecting a subset of the most pertinent features for eve