|
| Keyword : deep learning
| |
|
ASPERA: Multimodal Soccer Action Spotting with Visual, Auditory, and Textual Modalities
Takane KUMAKURA Ryohei ORIHARA Yasuyuki TAHARA Akihiko OHSUGA Yuichi SEI | Publication: IEICE TRANSACTIONS on Information and Systems
Publication Date: 2026/08/01
Vol. E109-D
No. 8 ;
pp. 1205-1218
Type of Manuscript:
PAPER
Category: Artificial Intelligence, Data Mining
Keyword:
action spotting, multimodal learning, transformer, markov chain, soccer, football, live broadcasting, deep learning, machine learning, artificial intelligence, | | | Summary | Full Text:PDF | |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
|
Unsupervised Deep Embedded Hashing for Large-Scale Image Retrieval
Huanmin WANG | Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2021/01/01
Vol. E104-A
No. 1 ;
pp. 343-346
Type of Manuscript:
LETTER
Category: Image
Keyword:
hashing, unsupervised learning, deep learning, | | | Summary | Full Text:PDF | |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
|
Simple Black-Box Adversarial Examples Generation with Very Few Queries
Yuya SENZAKI Satsuya OHATA Kanta MATSUURA | Publication: IEICE TRANSACTIONS on Information and Systems
Publication Date: 2020/02/01
Vol. E103-D
No. 2 ;
pp. 212-221
Type of Manuscript:
Special Section PAPER (Special Section on Security, Privacy, Anonymity and Trust in Cyberspace Computing and Communications)
Category: Reliability and Security of Computer Systems
Keyword:
adversarial examples, black-box attack, deep learning, | | | Summary | Full Text:PDF | |
| |
| |
| |
| |
| |
| |
| |
| |
|
Image Denoiser Using Convolutional Neural Network with Deconvolution and Modified Residual Network
Soo-Yeon SHIN Dong-Myung KIM Jae-Won SUH | Publication: IEICE TRANSACTIONS on Information and Systems
Publication Date: 2019/08/01
Vol. E102-D
No. 8 ;
pp. 1598-1601
Type of Manuscript:
LETTER
Category: Image Processing and Video Processing
Keyword:
image, denoise, deep learning, CNN, | | | Summary | Full Text:PDF | |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
|
A Threshold Neuron Pruning for a Binarized Deep Neural Network on an FPGA
Tomoya FUJII Shimpei SATO Hiroki NAKAHARA | Publication: IEICE TRANSACTIONS on Information and Systems
Publication Date: 2018/02/01
Vol. E101-D
No. 2 ;
pp. 376-386
Type of Manuscript:
Special Section PAPER (Special Section on Reconfigurable Systems)
Category: Emerging Applications
Keyword:
machine learning, deep learning, pruning, FPGA, | | | Summary | Full Text:PDF | |
| |
| |
| |
| |
| |
| |
|
A Cascade System of Dynamic Binary Neural Networks and Learning of Periodic Orbit
Jungo MORIYASU Toshimichi SAITO | Publication: IEICE TRANSACTIONS on Information and Systems
Publication Date: 2015/09/01
Vol. E98-D
No. 9 ;
pp. 1622-1629
Type of Manuscript:
Special Section PAPER (Special Section on Optimization and Learning Algorithms of Small Embedded Devices and Related Software/Hardware Implementation)
Category:
Keyword:
binary neural networks, deep learning, switching circuits, | | | Summary | Full Text:PDF | |
| |
| |
| |
|
|