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Technical Committee on Signal Processing (SIP) (Searched in: 2021)
Search Results: Keywords 'from:2021-08-23 to:2021-08-23'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIP | 2021-08-23 13:00 |
Online | Online | A video smoke detection algorithm based on optical flow using multi-frame cumulative smoke motion Kazutaka Kikuta, Yuki Murakami, Takeshi Murata (NICT)  SIP2021-27 |
Detection of smoke in the early stages is essential for the prevention of fire. This research proposes a method for a sy... [more] | SIP2021-27 pp.1-4 |
| SIP | 2021-08-23 13:25 |
Online | Online | A study on transfer learning in unsupervised anomalous sound detection based on deep metric learning considering variance of normal data Hiroki Narita, Akira Tamamori (AIT) SIP2021-28 |
In recent years, anomaly detection research in the field of computer vision has focused on methods based on transfer lea... [more] | SIP2021-28 pp.5-10 |
| SIP | 2021-08-23 14:00 |
Online | Online | [Invited Talk]
Block-Sparse Estimation using Optimal Block Structure Hiroki Kuroda (Ritsumeikan Univ.) SIP2021-29 |
This talk presents a convex optimization based block-sparse estimation method which is effective even when concrete bloc... [more] | SIP2021-29 p.11 |
| SIP | 2021-08-23 14:50 |
Online | Online | [Invited Talk]
Visualizing Wireless Environments: An Introduction of Spatial Statistics and Its Extensions to Multi-Dimensional Interpolation Koya Sato (Tokyo Univ. of Science) SIP2021-30 |
The radio map construction has been attracting attention. This technology visualizes the state of the wireless environme... [more] | SIP2021-30 pp.12-17 |
| SIP | 2021-08-23 15:40 |
Online | Online | [Invited Talk (Young Researcher)]
Hyperspectral image restoration based on convex optimization Saori Takeyama (Tokyo Tech) SIP2021-31 |
Hyperspectral (HS) images have high-resolution spectral information including invisible light, so they can visible the i... [more] | SIP2021-31 p.18 |
| SIP | 2021-08-24 10:00 |
Online | Online | [Invited Talk]
Audio source separation based on independent low-rank matrix analysis and its extensions Daichi Kitamura (NIT Kagawa) SIP2021-32 |
Audio source separation is a technique for separating individual audio sources from an observed mixture signal. In parti... [more] | SIP2021-32 pp.19-24 |
| SIP | 2021-08-24 10:50 |
Online | Online | [Invited Talk]
Scholarly Data Analysis and Visualization Marie Katsurai (Doshisha Univ.) SIP2021-33 |
The constantly increasing availability of digital data on scholarly contributions, such as academic papers and research ... [more] | SIP2021-33 p.25 |
| SIP | 2021-08-24 13:00 |
Online | Online | Analysis of mixed switching noise Fumihiko Ishiyama (NTT) SIP2021-34 |
We are investigating countermeasure technique against electro-magnetic noise by investigating our own method. We applied... [more] | SIP2021-34 pp.26-29 |
| SIP | 2021-08-24 13:25 |
Online | Online | [Invited Talk]
Performance Analysis of Convex Optimization Problem for Linear Inverse Problems and Its Applications Ryo Hayakawa (Osaka Univ.) SIP2021-35 |
[more] | SIP2021-35 pp.30-35 |
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