Recasting gradient-based meta-learning as hierarchical bayes

E Grant, C Finn, S Levine, T Darrell… - arXiv preprint arXiv …, 2018 - arxiv.org
Meta-learning allows an intelligent agent to leverage prior learning episodes as a basis for
quickly improving performance on a novel task. Bayesian hierarchical modeling provides a …

A flexible triboelectric tactile sensor for simultaneous material and texture recognition

Z Song, J Yin, Z Wang, C Lu, Z Yang, Z Zhao, Z Lin… - Nano Energy, 2022 - Elsevier
Electronic skin with tactile perception enables intelligent robots and prostheses to perform
dexterous manipulation and natural interaction with the human and surroundings. However …

Image encryption based on compressed sensing and DNA encoding

X Wang, Y Su - Signal Processing: Image Communication, 2021 - Elsevier
An image encryption scheme based on a four-wing hyperchaotic system combined with
compressed sensing and DNA coding is proposed. The scheme uses compressed sensing …

An efficient approach for encrypting double color images into a visually meaningful cipher image using 2D compressive sensing

X Chai, H Wu, Z Gan, D Han, Y Zhang, Y Chen - Information Sciences, 2021 - Elsevier
An efficient visually meaningful double color image encryption algorithm is proposed by
combining 2D compressive sensing (CS) with an embedding technique. First, two color …

Double parameters fractal sorting matrix and its application in image encryption

Y Xian, X Wang, L Teng - … on Circuits and Systems for Video …, 2021 - ieeexplore.ieee.org
In the field of frontier research, information security has received a lot of interest, but in the
field of information security algorithm, the introduction of decimals makes it impossible to …

Low complexity iterative rake decision feedback equalizer for zero-padded OTFS systems

T Thaj, E Viterbo - IEEE transactions on vehicular technology, 2020 - ieeexplore.ieee.org
This paper presents a linear complexity iterative rake detector for the recently proposed
orthogonal time frequency space (OTFS) modulation scheme. The basic idea is to extract …

New insights and perspectives on the natural gradient method

J Martens - Journal of Machine Learning Research, 2020 - jmlr.org
Natural gradient descent is an optimization method traditionally motivated from the
perspective of information geometry, and works well for many applications as an alternative …

Categorization of knowledge graph based recommendation methods and benchmark datasets from the perspectives of application scenarios: A comprehensive …

N Khan, Z Ma, A Ullah, K Polat - Expert Systems with Applications, 2022 - Elsevier
Recommender Systems (RS) are established to deal with the preferences of users to
enhance their experience and interest in innumerable online applications by streamlining …

[HTML][HTML] Identification of linear and bilinear systems: A unified study

J Benesty, C Paleologu, LM Dogariu, S Ciochină - Electronics, 2021 - mdpi.com
System identification problems are always challenging to address in applications that
involve long impulse responses, especially in the framework of multichannel systems. In this …

A neural collapse perspective on feature evolution in graph neural networks

V Kothapalli, T Tirer, J Bruna - Advances in Neural …, 2024 - proceedings.neurips.cc
Graph neural networks (GNNs) have become increasingly popular for classification tasks on
graph-structured data. Yet, the interplay between graph topology and feature evolution in …