Coding Theory Tools for Improving Recognition Performance in ECOC Systems

التفاصيل البيبلوغرافية
العنوان: Coding Theory Tools for Improving Recognition Performance in ECOC Systems
المؤلفون: MARROCCO, Claudio, SIMEONE, Paolo, TORTORELLA, Francesco
المساهمون: a cura di Zhi-Hua Zhou, Fabio Roli, Josef Kittler, Marrocco, Claudio, Simeone, Paolo, Tortorella, Francesco
بيانات النشر: Springer-Verlag
DEU
Berlin
سنة النشر: 2013
المجموعة: IRIS Unicas (Università degli Studi di Cassino e del Lazio Meridionale)
مصطلحات موضوعية: ECOC, reject option, LDPC, coding theory, ensemble learning
الوصف: Error-correcting output coding (ECOC) is nowadays an established technique to build polychotomous classification systems by aggregating highly efficient dichotomizers. This approach has exhibited good classification performance and generalization capabilities in many practical applications. In this field much work has been devoted to study new solutions both for the coding and the decoding phase, but little attention has been paid to the algebraic tools typically employed in the Coding Theory, which could provide an ECOC design approach based on robust theoretical foundations. In this paper we propose an ECOC classification system based on Low Density Parity Check (LDPC) Codes, a well known technique in Coding Theory. Such framework is particularly suitable to define an ECOC system that employs dichotomizers provided of a reject option. The experiments on some public data sets have demonstrated that, in this way, the ECOC system can reach good recognition rates when a suitable reject level is imposed to the dichotomizers.
نوع الوثيقة: book part
اللغة: English
العلاقة: info:eu-repo/semantics/altIdentifier/isbn/9783642380662; info:eu-repo/semantics/altIdentifier/isbn/9783642380679; ispartofseries:Lecture Notes in Computer Science; ispartofbook:Multiple Classifier Systems; volume:7872; firstpage:201; lastpage:211; numberofpages:11; serie:LECTURE NOTES IN COMPUTER SCIENCE; http://hdl.handle.net/11580/36852Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84892936662
DOI: 10.1007/978-3-642-38067-9_18
الإتاحة: https://doi.org/10.1007/978-3-642-38067-9_18Test
http://hdl.handle.net/11580/36852Test
رقم الانضمام: edsbas.400C8623
قاعدة البيانات: BASE