Browsing Publikasjoner fra CRIStin - NTNU by Journals "Pattern Recognition Letters"
Now showing items 1-3 of 3
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Doubly Stochastic Neighbor Embedding on Spheres
(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
(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
(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 ...