Vektör uzaylarinda öznitelik ard arda ekleme yönteminin analizi

Mete Ozay, Fatos T. Yarman Vural

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

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.

寄稿の翻訳タイトルAnalysis of feature concatenation operation on vector spaces
本文言語Turkish
ホスト出版物のタイトルSIU 2010 - IEEE 18th Signal Processing and Communications Applications Conference
ページ1-4
ページ数4
DOI
出版ステータスPublished - 2010 12 1
外部発表はい
イベント18th IEEE Signal Processing and Communications Applications Conference, SIU 2010 - Diyarbakir, Turkey
継続期間: 2010 4 222010 4 24

出版物シリーズ

名前SIU 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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