Browsing NTNU Open by Journals "Pattern Recognition"

Now showing items 1-5 of 5

    • A BFS-Tree of ranking references for unsupervised manifold learning 

      Pedronette, Daniel; Valem, Lucas; Torres, Ricardo Da Silva (Journal article; Peer reviewed, 2021)
      Contextual information, defined in terms of the proximity of feature vectors in a feature space, has been successfully used in the construction of search services. These search systems aim to exploit such information to ...

    • Estimating tukey depth using incremental quantile estimators 

      Hammer, Hugo Lewi; Yazidi, Anis; Rue, Håvard (Peer reviewed; Journal article, 2022)
      Measures of distance or how data points are positioned relative to each other are fundamental in pattern recognition. The concept of depth measures how deep an arbitrary point is positioned in a dataset, and is an interesting ...

    • Improved ear verification after surgery - An approach based on collaborative representation of locally competitive features 

      Ramachandra, Raghavendra; Raja, Kiran; Venkatesh, Sushma Krupa; Busch, Christoph (Journal article; Peer reviewed, 2018)
      Ear characteristic is a promising biometric modality that has demonstrated good biometric performance. In this paper, we investigate a novel and challenging problem to verify a subject (or user) based on the ear characteristics ...

    • Infrared small target detection via adaptive M-estimator ring top-hat transformation 

      Deng, Lizhen; Zhang, Jieke; Xu, Guoxia; Zhu, Hu (Peer reviewed; Journal article, 2021)
      Top-Hat transformation is an essential technology in the field of infrared small target detection. Many modified Top-Hat transformation methods have been proposed based on the different structure of structural elements. ...

    • Regression by Re-Ranking 

      Gonçalves, Filipe Marcel Fernandes; Pedronette, Daniel Carlos Guimarães; Da Silva Torres, Ricardo (Journal article; Peer reviewed, 2023)
      Several approaches based on regression have been developed in the past few years with the goal of improving prediction results, including the use of ranking strategies. Re-ranking has been exploited and successfully employed ...