Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Masako Omachi"'
Autor:
Shinichiro Omachi, Masako Omachi
Publikováno v:
IEEE Transactions on Vehicular Technology. 71:7113-7121
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c589796ab5c3f01d3cc2348f4a888918
https://doi.org/10.1109/tvt.2022.3167048
https://doi.org/10.1109/tvt.2022.3167048
Publikováno v:
IEEE Transactions on Vehicular Technology. 70:8468-8477
In this study, a novel framework for estimating a user's gaze point is proposed. If it is possible to detect what a user is looking at, appropriate services can be provided accordingly. Most existing methods for gaze estimation using image processing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::508f04e73ae150dab384ced78ad58952
https://doi.org/10.1109/tvt.2021.3101932
https://doi.org/10.1109/tvt.2021.3101932
Publikováno v:
IEEE Internet of Things Journal. 4:320-329
This paper presents a framework of on-demand color calibration system to track pedestrians across nonoverlapping fields of fixed camera view. The proposed system is designed based on the machine-to-machine (M2M) approach, and exchanges color informat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7706ab0c9899989ff757ad1d44c05ec
https://doi.org/10.1109/jiot.2016.2557814
https://doi.org/10.1109/jiot.2016.2557814
Publikováno v:
Journal of Information Processing. 24:349-357
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e85ca4f289c905065fa4ba4c2ac1e540
https://doi.org/10.2197/ipsjjip.24.349
https://doi.org/10.2197/ipsjjip.24.349
Publikováno v:
IEICE Transactions on Information and Systems. :2087-2095
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9fb4d6d2f4fb3de92b14d468eab8dae
https://doi.org/10.1587/transinf.e96.d.2087
https://doi.org/10.1587/transinf.e96.d.2087
Autor:
Masako Omachi, Shinichiro Omachi
Publikováno v:
SKG
Clustering is a fundamental tool for data analysis. Typically, all attributes of the data are used for clustering. However, if a set of attributes can be divided into meaningful subsets, it may be effective to cluster the data for each subset. In thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f8c7e6ff7cccc27978472431eff37b8
https://doi.org/10.1109/skg.2016.031
https://doi.org/10.1109/skg.2016.031
Publikováno v:
Computers & Industrial Engineering. 60:466-472
In statistical pattern recognition, a Gaussian mixture model is sometimes used for representing the distribution of vectors. The parameters of the Gaussian mixture model are usually estimated from given sample data by the expectation maximization alg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d626d3c8532242ba5bbbd95c633a54eb
https://doi.org/10.1016/j.cie.2010.08.007
https://doi.org/10.1016/j.cie.2010.08.007
Autor:
Shinichiro Omachi, Masako Omachi
Publikováno v:
IEICE Transactions on Information and Systems. :317-324
Precise estimation of data distribution with a small number of sample patterns is an important and challenging problem in the field of statistical pattern recognition. In this paper, we propose a novel method for estimating multimodal data distributi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0a8ed05134b620b3a0de49d8ba74740
https://doi.org/10.1587/transinf.e94.d.317
https://doi.org/10.1587/transinf.e94.d.317
Publikováno v:
IEICE Transactions on Information and Systems. :2243-2251
In speech recognition, confidence annotation adopts a single confidence feature or a combination of different features for classification. These confidence features are always extracted from decoding information. However, it is proved that about 30%
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c1655f802e641ec8da964d59b9beaa2
https://doi.org/10.1587/transinf.e93.d.2243
https://doi.org/10.1587/transinf.e93.d.2243
Autor:
Masako Omachi, Shinichiro Omachi
Publikováno v:
IEEE International Conference on Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd. 2009:284-287
The concern of the intelligent transportation system rises and many driver support systems have been developed. In this paper, a fast method of detecting a traffic light in a scene image is proposed. By converting the color space from RGB to normaliz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::526491605cf835ad61b014de7e380e1d
http://hdl.handle.net/10097/46670
http://hdl.handle.net/10097/46670