Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Luminita State"'
Publikováno v:
Informatică economică, Vol 18, Iss 2, Pp 42-52 (2014)
The aims of the paper are multifold, to propose a new method to determine a suitable value of the bias corresponding to the soft margin SVM classifier and to experimentally evaluate the quality of the found value against one of the standard expressio
Externí odkaz:
https://doaj.org/article/a96bd3eb28b1438d85fe23b084c944e6
Publikováno v:
Informatică economică, Vol 17, Iss 2, Pp 173-182 (2013)
The main aim of the paper is to briefly investigate the most significant topics of the currently used methodologies of solving and implementing SVM-based classifier. Following a brief introductory part, the basics of linear SVM and non-linear SVM mod
Externí odkaz:
https://doaj.org/article/44ed4fa552e74d6d937c3af77f000f95
Autor:
Luminita STATE, Catalina COCIANU
Publikováno v:
Informatică economică, Vol 16, Iss 1, Pp 37-49 (2012)
The restoration techniques are usually oriented toward modeling the type of degradation in order to infer the inverse process for recovering the given image. This approach usually involves the option for a criterion to numerically evaluate the qualit
Externí odkaz:
https://doaj.org/article/36fe3861cdc943ba920d3fcb15f15dd3
Publikováno v:
Informatică economică, Vol 14, Iss 3, Pp 128-139 (2010)
Kernel methods and support vector machines have become the most popular learning from examples paradigms. Several areas of application research make use of SVM approaches as for instance hand written character recognition, text categorization, face d
Externí odkaz:
https://doaj.org/article/743ae7e5d6394907b89207cb7b1aa46d
Publikováno v:
Informatică economică, Vol 13, Iss 3, Pp 153-164 (2009)
The paper focuses on the potential of principal directions based approaches in signal classification and recognition. In probabilistic models, the classes are represented in terms of multivariate density functions, and an object coming from a certain
Externí odkaz:
https://doaj.org/article/0404856813f7477aa9ba31dff9333659
Publikováno v:
Informatică economică, Vol XII, Iss 2, Pp 29-35 (2008)
So far, considerable research efforts have been invested in the are of using statistical methods for image processing purposes yielding to a significant amount of models that aim to improve as much as possible the still existing and currently used pr
Externí odkaz:
https://doaj.org/article/d68f2f8e3b63410b9f74494ff04a055d
Publikováno v:
Journal of Systemics, Cybernetics and Informatics, Vol 5, Iss 2, Pp 62-65 (2007)
Classical feature extraction and data projection methods have been extensively investigated in the pattern recognition and exploratory data analysis literature. Feature extraction and multivariate data projection allow avoiding the "curse of dimensio
Externí odkaz:
https://doaj.org/article/2e33dde5c8384ff98e01a1eb66270885
Publikováno v:
Informatică economică, Vol 18, Iss 2, Pp 42-52 (2014)
The aims of the paper are multifold, to propose a new method to determine a suitable value of the bias corresponding to the soft margin SVM classifier and to experimentally evaluate the quality of the found value against one of the standard expressio
Publikováno v:
Advanced Science Letters. 19:3660-3664
Publikováno v:
Informatică economică, Vol 17, Iss 2, Pp 173-182 (2013)
The main aim of the paper is to briefly investigate the most significant topics of the currently used methodologies of solving and implementing SVM-based classifier. Following a brief introductory part, the basics of linear SVM and non-linear SVM mod