Scheduled Maintenance on Monday 1/13/2025

Single article sales and account management will be unavailable from 5:00 AM - 7:00 PM ET (09:00 - 23:00 UTC). We apologize for the inconvenience.

IEEE.org
IEEE Xplore
IEEE SA
IEEE Spectrum
More Sites

- Donate
- Personal Sign In

Access provided by:

MIT Libraries

Sign Out

Access provided by:

MIT Libraries

Sign Out

ADVANCED SEARCH

Author details

< Back

Ilja Ocket

Also published under: I. Ocket, Ilia Ocket

Publications

106

Citations

1,025

Publications by Year

20042025

Co-Authors:

Ubaid AhmadMilan AmighiSaneaki AriumiG. AvolioOluwatosin J. Babarinde

Show All Co-Authors (163)

Ilja Ocket

Also published under: I. Ocket, Ilia Ocket

Affiliation

imec, Leuven, Belgium

Publication Topics

Dynamic Vision Sensor,
Deep Neural Network,
Spiking Neural Networks,
Gesture Recognition,
Incremental Learning,
Input Spike,
Leaky Integrate-and-fire,
Neural Network,
Radar Data,
Spike Trains,
Spike-timing-dependent Plasticity,
Air-filled Substrate Integrated Waveguide

Biography

Ilja Ocket (Member, IEEE) joined imec, Leuven, Belgium, in 1999, working initially on mmWave radar and radio development. He has been the Program Manager for radar and neuromorphic sensing and, since 2023, manages imec’s automotive portfolio.(Based on document published on 19 November 2024).

Publications

106

Citations

1,025

Publications by Year

20042025

Co-Authors:

Ubaid Ahmad
Milan Amighi
Saneaki Ariumi
G. Avolio
Oluwatosin J. Babarinde

Show All Co-Authors (163)

Author's Published Works

Search History

Showing 1-2 of 2 results

Conferences (1)

Journals (1)

Sort

Filter Results

Show

All Results

Subscribed Content

Open Access Only

Range
Single Year
Lei Cheng(2)
Yik-Chung Wu(2)
Zhongtao Chen(2)
Qingjiang Shi(1)
Sergios Theodoridis(1)
National and Kapodistrian University of Athens, Athens, Greece(1)
Zhejiang Provincial Key Laboratory of Information Processing, Communication and Networking (IPCAN), Hangzhou, China(1)
Shenzhen Research Institute of Big Data, Shenzhen, China(1)
College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China(1)
Department of Electronic Systems, Aalborg University, Aalborg, Denmark(1)
2023 31st European Signal Processing Conference (EUSIPCO)(1)
IEEE Transactions on Signal Processing(1)
IEEE(2)
Media(1)
Helsinki, Finland(1)
Bayesian Inference(2)
Bayesian Model(2)
Inference Algorithm(2)
Matrix Factorization(2)
Rank Learning(2)

Select All on Page

Sort By

Results

Enhanced Tensor Rank Learning in Bayesian PARAFAC2 for Noisy Irregular Tensor Data

Zhongtao Chen;Lei Cheng;Yik-Chung Wu

2023 31st European Signal Processing Conference (EUSIPCO)

Year: 2023 | Conference Paper |

HTML

To analyze irregular multi-dimensional data with unaligned dimensions, which frequently appear in real-world signal processing and machine learning tasks, parallel factor analysis 2 (PARAFAC2) has become the state-of-the-art (SOTA) tensor model that yields interpretable learning results. Like other tensor decomposition models, tensor rank learning in PARAFAC2 is vital to overcome overfitting/under...Show More

Enhanced Tensor Rank Learning in Bayesian PARAFAC2 for Noisy Irregular Tensor Data

Zhongtao Chen;Lei Cheng;Yik-Chung Wu

2023 31st European Signal Processing Conference (EUSIPCO)

Year: 2023 | Conference Paper |

Towards Flexible Sparsity-Aware Modeling: Automatic Tensor Rank Learning Using the Generalized Hyperbolic Prior

Lei Cheng;Zhongtao Chen;Qingjiang Shi;Yik-Chung Wu;Sergios Theodoridis

IEEE Transactions on Signal Processing

Year: 2022 | Volume: 70 | Journal Article |

Cited by: Papers (27)

HTML

Tensor rank learning for canonical polyadic decomposition (CPD) has long been deemed as an essential yet challenging problem. In particular, since thetensor rank controls the complexity of the CPD model, its inaccurate learning would cause overfitting to noise or underfitting to the signal sources, and even destroy the interpretability of model parameters. However, the optimal determination of a t...Show More

Towards Flexible Sparsity-Aware Modeling: Automatic Tensor Rank Learning Using the Generalized Hyperbolic Prior

Lei Cheng;Zhongtao Chen;Qingjiang Shi;Yik-Chung Wu;Sergios Theodoridis

IEEE Transactions on Signal Processing

Year: 2022 | Volume: 70 | Journal Article |

IEEE Personal Account

Change username/password

Purchase Details

Payment Options
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

Follow

A public charity, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.

IEEE Account

Change Username/Password
Update Address

Purchase Details

Payment Options
Order History
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical Interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

About IEEE Xplore
Contact Us
Help
Accessibility
Terms of Use
Nondiscrimination Policy
Sitemap
Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.