H
Hideki Asoh
Researcher at National Institute of Advanced Industrial Science and Technology
Publications - 120
Citations - 3037
Hideki Asoh is an academic researcher from National Institute of Advanced Industrial Science and Technology. The author has contributed to research in topics: Mobile robot & Computer science. The author has an hindex of 23, co-authored 114 publications receiving 2517 citations. Previous affiliations of Hideki Asoh include Keio University.
Papers
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Book ChapterDOI
Fairness-aware classifier with prejudice remover regularizer
TL;DR: A regularization approach is proposed that is applicable to any prediction algorithm with probabilistic discriminative models and applied to logistic regression and empirically show its effectiveness and efficiency.
Journal ArticleDOI
Combined approach of array processing and independent component analysis for blind separation of acoustic signals
TL;DR: Two array signal processing techniques are combined with independent component analysis (ICA) to enhance the performance of blind separation of acoustic signals in a reflective environment by using the subspace method, which reduces the effect of room reflection when the system is used in a room.
Journal ArticleDOI
Twitter user profiling based on text and community mining for market analysis
TL;DR: A hybrid text-based and community-based method for the demographic estimation of Twitter users, where these demographics are estimated by tracking the tweet history and clustering of followers/followees is proposed.
Journal ArticleDOI
Symbol emergence in robotics: a survey
TL;DR: In this article, the authors introduce a field of research called symbol emergence in robotics (SER), which represents a constructive approach towards a symbol emergence system, where embodied cognition and social interaction of participants gradually alter a symbol system in a constructive manner.
Proceedings ArticleDOI
Robust speech interface based on audio and video information fusion for humanoid HRP-2
I. Hara,Futoshi Asano,Hideki Asoh,Jun Ogata,Naoyuki Ichimura,Yoshihiro Kawai,Fumio Kanehiro,Hirohisa Hirukawa,K. Yamamoto +8 more
TL;DR: In this method, audio information and video information are fused by a Bayesian network to enable the detection of speech events and the information of detected speech events is utilized in sound separation using adaptive beam forming.