Vektör uzaylarinda öznitelik ard arda ekleme yönteminin analizi

Translated title of the contribution: Analysis of feature concatenation operation on vector spaces

Mete Ozay, Fatos T. Yarman Vural

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this study, the theoretical and experimental analysis of feature space concatenation operation is introduced. This operation is widely used for data fusion and ensemble learning. Following the analysis, a new performance measure which is called Vectorization Measure (VM) is introduced. VM enables the estimation of the separability capacity of the fusion space by analyzing the sample margin distributions on the feature vector subpsaces.

Translated title of the contributionAnalysis of feature concatenation operation on vector spaces
Original languageTurkish
Title of host publicationSIU 2010 - IEEE 18th Signal Processing and Communications Applications Conference
Pages1-4
Number of pages4
DOIs
Publication statusPublished - 2010 Dec 1
Externally publishedYes
Event18th IEEE Signal Processing and Communications Applications Conference, SIU 2010 - Diyarbakir, Turkey
Duration: 2010 Apr 222010 Apr 24

Publication series

NameSIU 2010 - IEEE 18th Signal Processing and Communications Applications Conference

Conference

Conference
CountryTurkey
CityDiyarbakir
Period10/4/2210/4/24

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

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