• Computing Negentropy Based Signatures for Texture Recognition 

      Lungu, Ana-Elena; Colţuc, Daniela; Frângu, Laurenţiu (2007)
      The proposed method aims to provide a new tool for texture recognition. For this purpose, a set of texture samples are decomposed by using the FastICA algorithm and characterized by a negentropy based signature. In order ...
    • An ICA Based Method for Texture Recognition 

      Colţuc, Daniela; Fournel, Thierry; Becker, Jean-Marie; Boutant, Yann ("Dunarea de Jos" University of Galati, 2006)
      The method proposed in this paper uses the Independent Component Analysis (ICA) for an application of unsupervised recognition of textures. The analysed texture is modelled by a weighted sum of almost statistically independent ...
    • A RLS Model Extracted by ICA 

      Colţuc, Daniela; Ilie, Mihaela; Merlan, Andreea ("Dunarea de Jos" University of Galati, 2007)
      This paper presents some preliminary results regarding the ability of ICA in analyzing spectrometric data. A set of RLS spectra, measured for different concentration DNA solutions, in the presence of the probe TbDTPA, is ...