Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Dajin Gao"'
Publikováno v:
Memetic Computing. 9:3-14
As an indispensable approach of one class classification, support vector data description (SVDD) has been studied within diverse research areas and application domains. Distant SVDD (dSVDD) is a variant of SVDD that shows higher identification accura
Publikováno v:
Bio-Medical Materials & Engineering. 2015 Supplement1, Vol. 26, pS1813-S1820. 8p.
Publikováno v:
Bio-Medical Materials and Engineering. 26:S1813-S1820
Computer-aided diagnosis (CAD) approaches succeed in detecting a number of diseases, however, they are not good at addressing atrial hypertrophy disease due to the lack of training data. Support Vector Machine (SVM) is very popular in few CAD solutio
Publikováno v:
DEStech Transactions on Computer Science and Engineering.
SVM is characterized of excellent behaviors in diverse classification communities. But its expensive training cost dependent on the size of training data prevents its wider application. For that this paper presents an Online Training Framework for SV
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9781447148043
This paper presents an ensemble approach consisting of global SVM and local SVM. Global SVM is estimated according to its decision confidence. Local SVM handles the query whose global decision is of low confidence. Local SVM is constructed over query
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3038fcf55d149cdf26cf5180a8fde97
https://doi.org/10.1007/978-1-4471-4805-0_2
https://doi.org/10.1007/978-1-4471-4805-0_2
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9781447147923
Along with the development of computer network technology, network technology is integrate into management and has become important symbol and method of modern office. Sending and receiving of documents are essential contents in the daily office work
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0d1048cc83cd8f109b74f4ff6013554
https://doi.org/10.1007/978-1-4471-4793-0_35
https://doi.org/10.1007/978-1-4471-4793-0_35
Publikováno v:
2008 7th World Congress on Intelligent Control and Automation.
This paper proposes a new spectrum vector quantization algorithm (SVQ). SVQ conducts vector quantization in spectrum space. It is characterized by some novels. The first is the informed initialization of prototypes, which is achieved by a modified su
Publikováno v:
2008 7th World Congress on Intelligent Control & Automation; 2008, p5180-5185, 6p