• Doubly Stochastic Neighbor Embedding on Spheres 

      Lu, Yao; Corander, Jukka; Yang, Zhirong (Journal article; Peer reviewed, 2019)
      Stochastic Neighbor Embedding (SNE) methods minimize the divergence between the similarity matrix of a high-dimensional data set and its counterpart from a low-dimensional embedding, leading to widely applied tools for ...
    • Integrating word embeddings and document topics with deep learning in a video classification framework 

      Kastrati, Zenun; Imran, Ali Shariq; Kurti, Arianit (Journal article; Peer reviewed, 2019)
      The advent of MOOC platforms brought an abundance of video educational content that made the selection of best fitting content for a specific topic a lengthy process. To tackle this challenge in this paper we report our ...
    • Learning cost function for graph classification with open-set methods 

      Werneck, Rafael de Oliveira; Raveaux, Romain; Tabbone, Salvatore; Torres, Ricardo Da Silva (Journal article; Peer reviewed, 2019)
      In several pattern recognition problems, effective graph matching is of paramount importance. In this paper, we introduce a novel framework to learn discriminative cost functions. These cost functions are embedded into a ...