Results 21 to 30 of about 891,343 (292)
Unsupervised Feature Learning by Deep Sparse Coding [PDF]
, 2013 In this paper, we propose a new unsupervised feature learning framework, namely Deep Sparse Coding (DeepSC), that extends sparse coding to a multi-layer architecture for visual object recognition tasks.
He, Yunlong +4 more
core +2 more sources
Effects of image compression on face image manipulation detection: A case study on facial retouching
IET Biometrics, 2021 Numerous methods have been introduced to reliably detect digital face image manipulations in the past. Of late, the generalisability of these schemes has been questioned in particular with respect to image post‐processing.
Christian Rathgeb +3 more
doaj +1 more source
Separable Reversible Data Hiding in Encryption Image with Two-Tuples Coding
Computers, 2021 Separable Reversible Data Hiding in Encryption Image (RDH-EI) has become widely used in clinical and military applications, social cloud and security surveillance in recent years, contributing significantly to preserving the privacy of digital images ...
Jijun Wang, Soo Fun Tan
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Extended IMD2020: a large‐scale annotated dataset tailored for detecting manipulated images
IET Biometrics, 2021 Image forensic datasets need to accommodate a complex diversity of systematic noise and intrinsic image artefacts to prevent any overfitting of learning methods to a small set of camera types or manipulation techniques.
Adam Novozámský +2 more
doaj +1 more source
Multiresolution matrix factorisation as a compression method for smart meter data
The Journal of Engineering, 2020 The development of a smart grid electricity distribution network with advanced technology in smart metering will produce a massive amount of data. However, the limitation in communication network bandwidth makes it hard to transmit these data to the ...
Arfah Ahmad +5 more
doaj +1 more source
Synchronization of Boolean networks with chaos‐driving and its application in image cryptosystem
IET Image Processing, 2023 This paper proposes a Boolean network model with high dimensional chaos driving and investigates the synchronization of the chaos‐driven Boolean network with a semi‐tensor product.
Peng‐Fei Yan +4 more
doaj +1 more source
A Comprehensive Survey of Transformers for Computer Vision
Drones, 2023 As a special type of transformer, vision transformers (ViTs) can be used for various computer vision (CV) applications. Convolutional neural networks (CNNs) have several potential problems that can be resolved with ViTs.
Sonain Jamil +2 more
doaj +1 more source
A spectral multi-resolution image encoding network [PDF]
, 2010 After a short introduction into traditional image transform coding, multirate systems and multiscale signal coding the paper focuses on the subject of image encoding by a neural network.
Brause, Rüdiger W., Glitsch, Jürgen
core
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background B‐acute lymphoblastic leukemia (B‐ALL) is the most common pediatric cancer, and while most children in high‐resource settings are cured, therapy carries risks for long‐term toxicities. Understanding parents’ concerns about these late effects is essential to guide anticipatory support and inform evolving therapeutic approaches ...
Kellee N. Parker +7 more
wiley +1 more source
Predicting the Lossless Compression Ratio of Remote Sensing Images With Configurational Entropy
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Compression of remote sensing images is beneficial to both storage and transmission. For lossless compression, the upper and lower limits of compression ratio are defined by Shannon's source coding theorem with Shannon entropy as the metric, which
Xinghua Cheng, Zhilin Li
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