Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Shun Nishide"'
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 13(11):5055-5066
At present, the significance of humanoid robots dramatically increased while this kind of robots rarely enters human life because of its immature development. The lip shape of humanoid robots is crucial in the speech process since it makes humanoid r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d9a5357e288a106cd8144188b2fdb6e
http://repo.lib.tokushima-u.ac.jp/118255
http://repo.lib.tokushima-u.ac.jp/118255
Publikováno v:
2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8c9af9d6f2b30dad55095d08c4fe321
https://doi.org/10.1109/hnicem54116.2021.9732036
https://doi.org/10.1109/hnicem54116.2021.9732036
Publikováno v:
International Symposium on Artificial Intelligence and Robotics 2020.
As one of the most critical tasks of natural language processing (NLP), emotion classification has a wide range of applications in many fields. However, restricted by corpus, semantic ambiguity, and other constraints, researchers in emotion classific
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccc65f9e52debd4ac9585d91e2458cd4
https://doi.org/10.1117/12.2579255
https://doi.org/10.1117/12.2579255
Publikováno v:
International Symposium on Artificial Intelligence and Robotics 2020.
The traditional collaborative filtering recommendation algorithm has the problem of data sparsity and expansibility. Aiming at this problem, and improved bisecting k-means collaborative filtering algorithm proposed.The algorithm first removes unrated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9496148dcd877740c4f4f459062230b0
https://doi.org/10.1117/12.2580026
https://doi.org/10.1117/12.2580026
Publikováno v:
2020 5th IEEE International Conference on Big Data Analytics (ICBDA).
The purpose of this research is to create an environmental recognition system, specifically on emotion expressions and human states, for a humanoid robot aiming for interpersonal services. Region Convolutional Neural Networks (R-CNN) are often used f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d85928ab941f014331619a5aafe2bba2
https://doi.org/10.1109/icbda49040.2020.9101205
https://doi.org/10.1109/icbda49040.2020.9101205
Publikováno v:
Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices ISBN: 9783030557881
IEA/AIE
IEA/AIE
Primitives are essential features in human’s recognition capability. In this paper, we propose a method to form representations of motion primitives within a neural network model to learn sequences that consist of a combination of primitives. The t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14318f775945850c69329e2d5a477dde
https://doi.org/10.1007/978-3-030-55789-8_62
https://doi.org/10.1007/978-3-030-55789-8_62
Publikováno v:
Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices ISBN: 9783030557881
IEA/AIE
IEA/AIE
Music generation is one of the important and challenging tasks in the field of music information processing. In this paper, we propose a method to generate music note sequences from a chord sequence based on the dynamics relation learned using a recu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c0136a0b0c35a9c93a2b42f430d9b2f
https://doi.org/10.1007/978-3-030-55789-8_55
https://doi.org/10.1007/978-3-030-55789-8_55
Publikováno v:
CCIS
Object motion recognition has been widely used in video tracking, motion analysis, medical assistance and human-computer intelligent interaction, etc., which has become a hot research field in the field of computer vision. One of the main difficultie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64faf79a68a2b5981fd001453bee45e9
https://doi.org/10.1109/ccis48116.2019.9073735
https://doi.org/10.1109/ccis48116.2019.9073735
Publikováno v:
CCIS
The sentiment classification is still one of the most popular research directions in the past decade. Furthermore, the information contained in the Chinese text is definitely not limited to the positive or negative emotions. In view of the complexity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18261f08095d6008098c5caa32e08f5d
https://doi.org/10.1109/ccis48116.2019.9073727
https://doi.org/10.1109/ccis48116.2019.9073727
Publikováno v:
CCIS
Nowadays, with the abundance and diversity of the data sets of the detected objects, detection and recognition technology has achieved excellent performance in learning effect. However, because the target objects are usually very small in many real-w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6a8d6d483dd15170edc3062b26fea92
https://doi.org/10.1109/ccis48116.2019.9073753
https://doi.org/10.1109/ccis48116.2019.9073753