Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Erica K. Shimomoto"'
Publikováno v:
Machine Learning with Applications, Vol 14, Iss , Pp 100493- (2023)
This paper proposes a new video representation for subspace-based action recognition. Traditional subspace-based methods represent a video as a subspace by applying principal component analysis (PCA) to its frames. However, this subspace might lead t
Externí odkaz:
https://doaj.org/article/784dfcf8d3b94c688a5f04841ae757c1
Publikováno v:
Pattern Analysis and Applications
Pattern Analysis and Applications, Springer Verlag, 2021, ⟨10.1007/s10044-021-00960-6⟩
Pattern Analysis and Applications, Springer Verlag, 2021, ⟨10.1007/s10044-021-00960-6⟩
In this paper, we propose a novel framework for text classification based on subspace-based methods. Recent studies showed the advantages of modeling texts as linear subspaces in a high-dimensional word vector space, to which we refer as word subspac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8d16295b08d0075a7157edce2ecaaae
https://doi.org/10.1007/s10044-021-00960-6
https://doi.org/10.1007/s10044-021-00960-6
Publikováno v:
MVA
Internet users engage in content creation by using various media formats. One of the most popular forms is the “internet meme”, which often depicts the general opinion about events with an image and a catchphrase. In this paper, we propose news2m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3edee9d34da417fabeff1de9d2aaf918
https://doi.org/10.23919/mva.2019.8757876
https://doi.org/10.23919/mva.2019.8757876
Publikováno v:
IJCNN
Text classification has become indispensable due to the rapid increase of text in digital form. Over the past three decades, efforts have been made to approach this task using various learning algorithms and statistical models based on bag-of-words (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::336bdfc5dd55d0442f3eb4cc74665302
Publikováno v:
2015 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON).
Face Recognition is one of the most studied topics in computer vision. But before recognizing, it is necessary to detect a face. Many methods have been developed in order to perform this but the biggest problem they face is the time it takes to detec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97e2da74df9b088607655af4432cfa30
https://doi.org/10.1109/chilecon.2015.7400344
https://doi.org/10.1109/chilecon.2015.7400344