Results 31 to 40 of about 64,275 (248)
Physical Adversarial Attacks Against End-to-End Autoencoder Communication Systems
, 2019 We show that end-to-end learning of communication systems through deep neural network (DNN) autoencoders can be extremely vulnerable to physical adversarial attacks.
Larsson, Erik G., Sadeghi, Meysam
core +1 more source
Feature Extraction from Building Submetering Networks Using Deep Learning
Sensors, 2020 The understanding of the nature and structure of energy use in large buildings is vital for defining novel energy and climate change strategies. The advances on metering technology and low-cost devices make it possible to form a submetering network ...
Antonio Morán +5 more
doaj +1 more source
SAFEPA: An Expandable Multi-Pose Facial Expressions Pain Assessment Method
Applied Sciences, 2023 Accurately assessing the intensity of pain from facial expressions captured in videos is crucial for effective pain management and critical for a wide range of healthcare applications.
Thoria Alghamdi, Gita Alaghband
doaj +1 more source
Sparse Coding and Autoencoders
, 2017 In "Dictionary Learning" one tries to recover incoherent matrices $A^* \in \mathbb{R}^{n \times h}$ (typically overcomplete and whose columns are assumed to be normalized) and sparse vectors $x^* \in \mathbb{R}^h$ with a small support of size $h^p$ for ...
Arora, Ashish +6 more
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Entropy, 2021 Autoencoders are commonly used in representation learning. They consist of an encoder and a decoder, which provide a straightforward method to map n-dimensional data in input space to a lower m-dimensional representation space and back.
Viktoria Schuster, Anders Krogh
doaj +1 more source
Multiresolution convolutional autoencoders
Journal of Computational Physics, 2023 20 pages, 11 ...
Yuying Liu +3 more
openaire +2 more sources
Improving Sampling from Generative Autoencoders with Markov Chains [PDF]
, 2016 We focus on generative autoencoders, such as variational or adversarial autoencoders, which jointly learn a generative model alongside an inference model.
Arulkumaran, K, Bharath, AA, Creswell, A
core
Hashing with binary autoencoders
, 2015 An attractive approach for fast search in image databases is binary hashing, where each high-dimensional, real-valued image is mapped onto a low-dimensional, binary vector and the search is done in this binary space.
Carreira-Perpiñán, Miguel Á. +1 more
core +1 more source
Advanced Functional Materials, EarlyView.Cuttlebone‐inspired metamaterials exploit a septum‐wall architecture to achieve excellent mechanical and functional properties. This review classifies existing designs into direct biomimetic, honeycomb‐type, and strut‐type architectures, summarizes governing design principles, and presents a decoupled design framework for interpreting multiphysical ...
Xinwei Li, Zhendong Li
wiley +1 more source
Fast and Effective Techniques for LWIR Radiative Transfer Modeling: A Dimension-Reduction Approach
Remote Sensing, 2019 The increasing spatial and spectral resolution of hyperspectral imagers yields detailed spectroscopy measurements from both space-based and airborne platforms.
Nicholas Westing +2 more
doaj +1 more source