Search Results for author: Frank de Hoog

Found 6 papers, 3 papers with code

Understanding the Effects of Projectors in Knowledge Distillation

1 code implementation26 Oct 2023 Yudong Chen, Sen Wang, Jiajun Liu, Xuwei Xu, Frank de Hoog, Brano Kusy, Zi Huang

Interestingly, we discovered that even if the student and the teacher have the same feature dimensions, adding a projector still helps to improve the distillation performance.

Knowledge Distillation

Improved Feature Distillation via Projector Ensemble

1 code implementation27 Oct 2022 Yudong Chen, Sen Wang, Jiajun Liu, Xuwei Xu, Frank de Hoog, Zi Huang

Motivated by the positive effect of the projector in feature distillation, we propose an ensemble of projectors to further improve the quality of student features.

Knowledge Distillation Multi-Task Learning

A Graph Model with Indirect Co-location Links

1 code implementation9 Jun 2018 Md Shahzamal, Raja Jurdak, Bernard Mans, Frank de Hoog

However, they do not account for indirect interactions that can transmit spreading items to individuals who visit the same locations at different times but within a certain time limit.

Social and Information Networks Physics and Society

Compressive hyperspectral imaging via adaptive sampling and dictionary learning

no code implementations2 Dec 2015 Mingrui Yang, Frank de Hoog, Yuqi Fan, Wen Hu

In this paper, we propose a new sampling strategy for hyperspectral signals that is based on dictionary learning and singular value decomposition (SVD).

Compressive Sensing Dictionary Learning

Hyperspectral Image Recovery via Hybrid Regularization

no code implementations9 Nov 2015 Reza Arablouei, Frank de Hoog

Numerical simulations using real hyperspectral images exhibit that the proposed algorithm offers an excellent recovery performance with a number of measurements that is only a small fraction of the hyperspectral image data size.

Denoising

Sparse Bayesian Learning for EEG Source Localization

no code implementations19 Jan 2015 Sajib Saha, Frank de Hoog, Ya. I. Nesterets, Rajib Rana, M. Tahtali, T. E. Gureyev

Methods: To better specify the sparsity profile and to ensure efficient source localization, the proposed approach considers grouping of the electrical current dipoles inside human brain.

EEG Electroencephalogram (EEG)

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