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Stable face representations
2011
Philosophical Transactions of the Royal Society of London. Biological Sciences
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We also argue that a photograph is not necessarily a reliable indicator of facial appearance, and develop our proposal that summary statistics can provide more stable face representations. ...
Yet, recent research shows that it is surprisingly difficult to match a photo to a face. Neither humans nor machines can perform this task reliably. ...
In a pioneering demonstration of this, Bruce et al. [22, 23] devised a task designed to model a best-case scenario for identifying images captured on security video. ...
doi:10.1098/rstb.2010.0379
pmid:21536553
pmcid:PMC3130381
fatcat:y4l7wbkctvgw7peaeaft2ph6f4
Time-Frequency Representations: Spectrogram, Cochleogram and Correlogram
2020
Procedia Computer Science
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A convolutional layer of CNN processes an image of speech or sound (spectrogram or any other T-F representation). ...
A convolutional layer of CNN processes an image of speech or sound (spectrogram or any other T-F representation). ...
Prasanna for the valuable and constructive suggestions on the approach of T-F representations in speech research with CNN. ...
doi:10.1016/j.procs.2020.03.209
fatcat:gujjuttrmbaopniieereuhvejq
CoReD: Generalizing Fake Media Detection with Continual Representation using Distillation
[article]
2021
arXiv
pre-print
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2021 pre-print arXiv:2107.02408v1 fatcat:doe2m7crpzhkxpq6x5ha4wdlcqOther Versions
We design CoReD to perform sequential domain adaptation tasks on new deepfake and GAN-generated synthetic face datasets, while effectively minimizing the catastrophic forgetting in a teacher-student model ...
Continual learning is a growing field of research that examines how AI systems can learn sequentially from a continuous stream of linked data in the same way that biological systems do. ...
While these machine learning models emphasize the final result over the learning process, often they ignores a key feature of human learning such as its robustness and adaptability towards evolving tasks ...
arXiv:2107.02408v2
fatcat:vjvlni7ngrhitpfmrdnal34nye
Inferring low-dimensional microstructure representations using convolutional neural networks
2017
Physical review. E
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We apply recent advances in machine learning and computer vision to a central problem in materials informatics: The statistical representation of microstructural images. ...
We use activations in a pre-trained convolutional neural network to provide a high-dimensional characterization of a set of synthetic microstructural images. ...
ACKNOWLEDGMENTS We acknowledge funding support from a Laboratory Directed Research and Development (LDRD) DR (#20140013DR), and the Center for Nonlinear Studies (CNLS) at the Los Alamos National Laboratory ...
doi:10.1103/physreve.96.052111
pmid:29347716
fatcat:eqmd564tjbhftdrr6v7aufhx4a
Semi-blind source separation via sparse representations and online dictionary learning
2013
2013 Asilomar Conference on Signals, Systems and Computers
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task. ...
We propose a separation technique based on local sparse approximations along the lines of recent efforts in sparse representations and dictionary learning. ...
The task of aligning batches of images is well-studied in the computer vision literature. ...
doi:10.1109/acssc.2013.6810587
dblp:conf/acssc/RambhatlaH13
fatcat:ihi22rr7vjbhrmywtakufoa2fu
Using 3D Hahn Moments as A Computational Representation of ATS Drugs Molecular Structure
[article]
2018
arXiv
pre-print
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Thus, a new type of 3D molecular structure representation technique should be developed to cater the 3D molecular structure acquired physically using these molecular imaging devices. ...
The technical limitations of the current test kits to detect new brand of ATS drugs present a challenge to law enforcement authorities and forensic laboratories. ...
, and more importantly, classification accuracy, this study nonetheless serves as a basis towards a better 3D molecular structure representation, especially on using continuous orthogonal moments defined ...
arXiv:1802.06404v2
fatcat:drxeqgzfbrhb3jfnskhjuqls54
Theory and Method of Social Representations
1999
Asian Journal of Social Psychology
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This paper gives an overview of social representation theory, definitions of the key terms and of the social processes leading to a representation and to social identity. ...
Social representations Social representation theory is a social psychological framework of concepts and ideas to study psychosocial phenomena in modern societies. ...
This correspondence analysis brings to light very diverse structural principles of the social representation of androgyny. ...
doi:10.1111/1467-839x.00028
fatcat:es5og6n3kbfgbn2aq7b4ggklnm
Aligned and non-aligned double JPEG detection using convolutional neural networks
2017
Journal of Visual Communication and Image Representation
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2017 pre-print arXiv:1708.00930v1 fatcat:tsjv4uirgfckzox2qhizz36nwe
The ability of detecting whether an image has been compressed twice provides paramount information toward image authenticity assessment. ...
Due to the wide diffusion of JPEG coding standard, the image forensic community has devoted significant attention to the development of double JPEG (DJPEG) compression detectors through the years. ...
The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of DARPA ...
doi:10.1016/j.jvcir.2017.09.003
fatcat:jyzfxn7dpzf63mhyfth2e2ksri
FReTAL: Generalizing Deepfake Detection using Knowledge Distillation and Representation Learning
[article]
2021
arXiv
pre-print
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In this work, we employ the Representation Learning (ReL) and Knowledge Distillation (KD) paradigms to introduce a transfer learning-based Feature Representation Transfer Adaptation Learning (FReTAL) method ...
Our student model can quickly adapt to new types of deepfake by distilling knowledge from a pre-trained teacher model and applying transfer learning without using source domain data during domain adaptation ...
Representation Learning Representation learning (ReL) is the process of learning representations of input data, usually by transforming or extracting features from it, making a task like classification ...
arXiv:2105.13617v1
fatcat:ecsyx7ar4jdxff54eu2uizlzdm
Our Environment in Miniature: Dust and the Early Twentieth-Century Forensic Imagination
2013
Representations
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We are, allegedly, living in a new era of forensic investigation. ...
Since the introduction of DNA profiling in the mid-1980s, the forensic terrain has been reshaped, with new iconography (spectral images of white-suited, anonymous crime scene investigators); new challenges ...
First it is worth pointing out that Freeman, toward the end of his career, provided a principled explanation for his approach: A widely prevailing error is that a detective story needs to be highly sensational ...
doi:10.1525/rep.2013.121.1.31
pmid:23766552
pmcid:PMC3678505
fatcat:vu5pednlkrhnxia77rx5d6ruqm
Accurate and Scalable Image Clustering Based On Sparse Representation of Camera Fingerprint
[article]
2018
arXiv
pre-print
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Clustering images according to their acquisition devices is a well-known problem in multimedia forensics, which is typically faced by means of camera Sensor Pattern Noise (SPN). ...
Such dependencies are encoded under sparse representations which are obtained by solving a LASSO problem with non-negativity constraint. ...
In blind scenarios, where only a set of unsourced images are given, such fingerprint can reveal images that share the same source. We refer to this task as image clustering by source camera. ...
arXiv:1810.07945v2
fatcat:ac2niv4w7rhxnoz6ybx6qovpge
Episodic representation: A mental models account
2022
Frontiers in Psychology
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This paper offers a modeling account of episodic representation. ...
I argue that the episodic system constructs mental models: representations that preserve the spatiotemporal structure of represented domains. ...
I would also like to thank the audiences at the 43rd Annual Meeting of the Society for Philosophy and Psychology, the University of Warwick, Johns Hopkins University as well as the participants of the ...
doi:10.3389/fpsyg.2022.899371
fatcat:herffupsdzbcxhp5hlgzlaf7ey
Functional Representation of Prototypes in LVQ and Relevance Learning
[chapter]
2016
Advances in Intelligent Systems and Computing
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(University of Kent), Frank van Harmelen (Vrije Universiteit Amsterdam), Hado van Hasselt (Google DeepMind), and Manuela Veloso (Carnegie Mellon University), a Research meets Business session, a panel ...
As in previous years, BNAIC 2016 welcomed four types of contributions, namely A) regular papers, B) compressed contributions, C) demonstration abstracts, and D) thesis abstracts. ...
Acknowledgments The research reported has been performed in the context of the project 'Designing and Understanding Forensic Bayesian Networks with Arguments and Scenarios', funded in the NWO Forensic ...
doi:10.1007/978-3-319-28518-4_28
fatcat:uwxvq6txmrba3ajulmblafgh2a
The Mingei Handbook on Heritage Craft representation and preservation
[article]
2022
Zenodo
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The Mingei protocol encompasses a wide range of representation methods. These methods fall into the topics of artefact digitisation, semantic representation, and curation of content. ...
Nevertheless, as the representation of a craft includes representation of socio-historic context the scientific experience of the curator, historian, or anthropologist, is relevant to the quality and accuracy ...
Acknowledgement This work has been conducted in the context of the Mingei project that has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement ...
doi:10.5281/zenodo.6592656
fatcat:rcl5gfdrhnf4jbwmekhcey6nui
Two-Dimensional Polar Harmonic Transforms for Invariant Image Representation
2010
IEEE Transactions on Pattern Analysis and Machine Intelligence
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This paper introduces a set of 2D transforms, based on a set of orthogonal projection bases, to generate a set of features which are invariant to rotation. ...
Furthermore, PHTs make available a large set of features for further feature selection in the process of seeking for the best discriminative or representative features for a particular application. ...
ACKNOWLEDGMENTS This work was supported by Singapore A*Star SERC Research Grant No: 0621300056. This work was performed when Pew-Thian Yap was with the Nanyang Technological University. ...
doi:10.1109/tpami.2009.119
pmid:20489228
fatcat:qfmbfvqacnaqjo3bczbt2hznym
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