Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Taiichi, Hashimoto"'
Publikováno v:
IEEE Access, Vol 10, Pp 115732-115743 (2022)
Speech emotion recognition (SER) is essential for understanding a speaker’s intention. Recently, some groups have attempted to improve SER performance using a bidirectional long short-term memory (BLSTM) to extract features from speech sequences an
Externí odkaz:
https://doaj.org/article/039a50ba1f7543f6a2bda3b6b8b06377
Publikováno v:
Interspeech 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4d9401b9b92f0fe9013882d465e2d1a
https://doi.org/10.21437/interspeech.2022-584
https://doi.org/10.21437/interspeech.2022-584
Autor:
Koiti, Hasida, Hidetsugu, Nanba, Takashi, Inui, Makoto, Iwayama, Taiichi, Hashimoto, Atsushi, Fujii
Publikováno v:
In Procedia - Social and Behavioral Sciences 2011 27:113-121
Autor:
Taiichi Hashimoto, Kent Fujiwara
Publikováno v:
CVPR
We present a novel representation for point clouds that encapsulates the local characteristics of the underlying structure. The key idea is to embed an implicit representation of the point cloud, namely the distance field, into neural networks. One n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91299f0fac704447f0c234c9412525a5
https://doi.org/10.1109/cvpr42600.2020.01175
https://doi.org/10.1109/cvpr42600.2020.01175
Publikováno v:
International Journal of Business Intelligence and Data Mining. 7(No. 3):217-231
Recently, analysing research papers to understand research trends researcher's research topics automatically from metainformation of research papers published on the internet. Our method is based on Maximum Margin Clustering (MMC). We describe how to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4ad6ebd2406af664a26805f79bc6bb7
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100644851
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100644851
Publikováno v:
SOCIOTECHNICA. 6:187-198
The new procedure to extract technologically relevant words against societal issues was developed using newspaper articles. The originally introduced indices: 'problem relevancy (pr)' and 'technical relevancy (tr)' enabled to score their importance o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f548d60abcbf913fa45c9b483ba653d7
https://doi.org/10.3392/sociotechnica.6.187
https://doi.org/10.3392/sociotechnica.6.187
Publikováno v:
Transactions of the Japanese Society for Artificial Intelligence. 24:333-338
Document clustering is one of the useful approaches for macro analysis of the large scale of documents. However it is difficult for an analyst to efficiently detects clusters which contain important information from the results of document clustering
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fc810605da8d030676e685b54ef266c
https://doi.org/10.1527/tjsai.24.333
https://doi.org/10.1527/tjsai.24.333
Publikováno v:
Transactions of the Japanese Society for Artificial Intelligence. 24:469-479
This paper presents a method for boosting the performance of the organization name recognition, which is a part of named entity recognition (NER). Although gazetteers (lists of the NEs) have been known as one of the effective features for supervised
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92743c4732dcca67cf3caf8145f244cb
https://doi.org/10.1527/tjsai.24.469
https://doi.org/10.1527/tjsai.24.469
Publikováno v:
PaIR
This paper introduces the Patent Mining Task of the Seventh NTCIR Workshop and the test collections produced in this task. The task's goal was the classification of research papers written in either Japanese or English in terms of the International P
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::412373dc69259b295570b65918100e7c
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100590535
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100590535
Publikováno v:
SOCIOTECHNICA. 5:216-226
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db0a3a5f979288950c94d56b839e3a15
https://doi.org/10.3392/sociotechnica.5.216
https://doi.org/10.3392/sociotechnica.5.216