Published Papers - NAKACHI Takayuki

Light-weight Machine Learning based Intelligent Constellation Diagram Analyzer

Yitu Wang, Takayuki Nakachi, Tetsuro Inui, Takafumi Tanaka, Takahiro Yamaguchi, Katsuhiro Shimano

IEEE OptoElectronics and Communications Conference (OECC2020)     2020.09 [ Peer Review Accepted ]

Type of publication: Research paper (other science council materials etc.)

A Privacy-preserving Learning Framework for Face Recognition in Edge and Cloud Networks

Yitu Wang, Takayuki Nakachi

IEEE ACCESS: The Multidisciplinary Open Access Journal Access     2020.07 [ Peer Review Accepted ]

Type of publication: Research paper (scientific journal)

The Learning and Prediction of Network Traffic: A Revisiting to Sparse Representation

Yitu Wang, Takayuki Nakachi

IEEE International Conference on Communications (ICC2020)     2020.06 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Privacy-preserving Pattern Recognition using Encrypted Sparse Representations in L0 Norm Minimization

Takayuki Nakachi, Yitu Wang, Hitoshi Kiya

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP2020)     2020.05 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Secure Face Recognition in Edge and Cloud Networks: From the Ensemble Learning Perspective

Yitu Wang, Takayuki Nakachi

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP2020)     2020.05 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Sparse Modeling on Distributed Encryption Data

Yukihiro Bandoh, Takayuki Nakachi, Hitoshi Kiya

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP2020)     2020.05 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Secure OMP Based Pattern Recognition that Supports Image Compression

Takayuki Nakachi, Hitoshi Kiya

Signal & Image Processing : An International Journal (SIPIJ) ( AIRCC )  11 ( 2 )   2020.04 [ Peer Review Accepted ]

Type of publication: Research paper (scientific journal)

Privacy-preserving Pattern Recognition with Image Compression

Takayuki Nakachi, Hitoshi Kiya

International Conference on Signal, Image Processing and Pattern Recognition (SIPP 2020)   10 ( 02 )   2020.03 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Secure Overcomplete Dictionary Learning for Sparse Representation

Takayuki Nakachi, Yukihiro Bandoh, Hitoshi Kiya

IEICE Transactions on Information and Systems   E103.D ( 1 ) 50 - 58   2020.01 [ Peer Review Accepted ]

Type of publication: Research paper (scientific journal)

Privacy-Preserving Support Vector Machine Computing Using Random Unitary Transformation

Takahiro Maekawa, Ayana Kawamura, Takayuki Nakachi, Hitoshi Kiya

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences   E102-A ( 12 ) 1849 - 1855   2019.12 [ Peer Review Accepted ]

Type of publication: Research paper (scientific journal)

Secure Sparse Representations in L0 Norm Minimization and Its Application to EtC Systems

Takayuki Nakachi, Hitoshi Kiya

IEEE International Conferences on Signal Processing and Communication Systems (ICSPCS2019)     2019.12 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Secure Dictionary Learning for Sparse Representation

Takayuki Nakachi, Yukihiro Bandoh, Hitoshi Kiya

European Signal Processing Conference (EUSIPCO 2019)     2019.09 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Edge and Cloud-aided Secure Sparse Representation for Face Recognition

Yitu Wang, Takayuki Nakachi, Hiroyuki Ishihara

European Signal Processing Conference (EUSIPCO 2019)     2019.09 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

An MMT Module for 4K/120fps Temporally Scalable Video

Yasuhiro Mochida, Takayuki Nakachi, Takahiro Yamaguchi, Takayuki Onishi, Ken Nakamura

IEEE International Symposium on Intelligent Signal Processing and Communication Systems (ISCAS2019)     2019.05 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Privacy-preserving Pattern Recognition using Secure Sparse Computation

Takayuki Nakachi, Hitoshi Kiya

JOIG International Conference on Frontiers of Image Processing (ICFIP2019)     2019.03 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Privacy-preserving Network BMI Decoding of Covert Spatial Attention

Takayuki Nakachi, Hiroyuki Ishihara, Hitoshi Kiya

IEEE International Conferences on Signal Processing and Communication Systems (ICSPCS2018)     2018.12 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

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Privacy-preserving SVM Computing by using Random Unitary Transformation

Takahiro Maekawa, Takayuki Nakachi, Sayaka Shiota, Hitoshi Kiya

IEEE International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS2018)     2018.11 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Practical Secure OMP Computation and Its Application to Image Modeling

Takayuki Nakachi, Hitoshi Kiya

ACM International Conference on Information Hiding and Image Processing (IHIP2018)     2018.09 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Joint Attention Estimation from Object-wise 3D Gaze Concurrences in Multiple First Person Videos and Gazes

Hiroyuki Ishihara, Takayuki Nakachi, Masanori Ogawara, Takahiro Yamaguchi

Springer European Conference on Computer Vision (ECCV2018)     2018.09 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Slepian-Wolf Video Coding with Resolution-progressive Transmission

Takayuki Nakachi, Shinya Ishihara

IEEE International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS 2017) ( Institute of Electrical and Electronics Engineers Inc. )  2017   170 - 175   2017.11 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

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In this paper, we propose a new Slepian-Wolf (SW) video coding that supports resolution-progressive transmission. It can realize low-delay low-resolution real time streaming as well as high lossless coding efficiency. Intra-frame video coding is performed as the base layer coder for down-sampled input video and a SW coder is used as the enhancement layer coder for lossless archiving. In order to improve SW lossless coding efficiency, we introduce inter-layer prediction between the base layer and the enhancement layer. It uses inter-layer prediction to increase the accuracy of Motion Estimation (ME). Simulations show that the proposed scheme gives higher coding performance better than the JPEG2000 lossless mode.

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