A critical literature survey and prospects on tampering and anomaly detection in image data

2020 ◽  
Vol 97 ◽  
pp. 106727
Author(s):  
Kelton A.P. da Costa ◽  
João P. Papa ◽  
Leandro A. Passos ◽  
Danilo Colombo ◽  
Javier Del Ser ◽  
...  
Keyword(s):  
Anomaly Detection ◽  
Image Data ◽  
Literature Survey ◽  
Critical Literature

Democracy as the Rule of the Dumb Many?

2012 ◽  
Author(s):  
Hélène Landemore
Keyword(s):  
Democratic Theory ◽  
Literature Survey ◽  
Related Question ◽  
Cognitive Competence ◽  
Democratic Institutions ◽  
Epistemic Democracy ◽  
Definition Of ◽  
Traditional Approaches ◽  
Critical Literature

This chapter illustrates the deeply entrenched prejudice of political philosophers, including some democratic theorists, against “the rule of the dumb many.” It offers a critical literature survey showing how most traditional approaches to democracy either deny or circumvent the question of the people's competence to rule, with the exception of a tiny but growing literature on “epistemic democracy.” In fact, with the exception of the latter, the question of the cognitive competence of average citizens and the related question of the performance of democratic institutions either raises profound skepticism or is avoided altogether in contemporary democratic theory, both positive and normative. As a result, many theories and justifications of democracy tend to be competence insensitive, either denying that citizens' political incompetence is a problem or circumventing what they do see as a problem through an “elitist” definition of democracy as rule by the elected enlightened.

scholarly journals Morphological description and phylogenetic estimation of Favolus roseus (Polyporaceae): first documented records for the Indian mycobiota

Check List ◽  
2021 ◽  
Vol 17 (4) ◽  
pp. 1171-1180
Author(s):  
Arun Vincent Kisku ◽  
Gore Vijay Udhav ◽  
Manoj Emanuel Hembrom ◽  
Aniket Ghosh ◽  
Vasant Pandit Mali
Keyword(s):  
Molecular Phylogeny ◽  
Literature Survey ◽  
Morphological Description ◽  
Taxonomic Note ◽  
First Report ◽  
Phylogenetic Estimation ◽  
Critical Literature

During the course of macrofungal forays, we collected several wood-rotting fungi from three states in India: Bihar, Jharkhand, and Maharashtra. We identified some of these macrofungal collections as Favolus roseus Lloyd. A critical literature survey and taxonomic investigation established that this is the first report of F. roseus from India. We give a detailed morphological description, illustration, and molecular phylogeny of the species, along with taxonomic note and extended biogeographical distributional map.

Characterizing single chain nanoparticles (SCNPs): a critical survey

2017 ◽  
Vol 8 (38) ◽  
pp. 5845-5851 ◽  
Author(s):  
Eva Blasco ◽  
Bryan T. Tuten ◽  
Hendrik Frisch ◽  
Albena Lederer ◽  
Christopher Barner-Kowollik
Keyword(s):  
Literature Survey ◽  
Polymer Nanoparticles ◽  
Critical Survey ◽  
Single Chain ◽  
Chain Polymer ◽  
Critical Literature

We provide the results of a critical literature survey on the reported sizes of single chain polymer nanoparticles (SCNPs) employing different techniques.

scholarly journals A study on Anomaly Detection GAN-based methods on image data

2019 ◽  
Author(s):  
Emanuel Silva ◽  
Johannes Lochter
Keyword(s):  
Deep Learning ◽  
Anomaly Detection ◽  
Image Data ◽  
Original Method ◽  
Detection Task ◽  
Generative Adversarial Networks ◽  
High Dimensional ◽  
Complex Data ◽  
New Techniques ◽  
Adversarial Networks

The anomaly detection task is a well know problem being researched among a variety of areas, including machine learning. The task is to identify data patterns that have a non expected behaviour, that can be a malicious data sent by an attacker or a unexpected valid behaviour, in both cases the anomaly need to be identified. With the advance of deep learning based techniques showing that this class of algorithms can learn high-dimensional and complex data patterns, naturally it became an option to the anomaly detection task. Recent researches in literature are using a sub-field of deep learning algorithms named Generative Adversarial Networks for predicting anomalous samples, since the original method can learn the data distribution. These new techniques make some changes for the anomaly detection task, and this work provides a briefly review on these methods and provides a comparison with well known methods.

scholarly journals Fourier Domain Anomaly Detection and Spectral Fusion for Stripe Noise Removal of TIR Imagery

2020 ◽  
Vol 12 (22) ◽  
pp. 3714
Author(s):  
Qingjie Zeng ◽  
Hanlin Qin ◽  
Xiang Yan ◽  
Tingwu Yang
Keyword(s):  
Remote Sensing ◽  
Anomaly Detection ◽  
Real Life ◽  
Image Data ◽  
Noise Removal ◽  
Fourier Domain ◽  
Transform Domain ◽  
Noise Pattern ◽  
Original Spectrum ◽  
Weight Map

Stripe noise is a common and unwelcome noise pattern in various thermal infrared (TIR) image data including conventional TIR images and remote sensing TIR spectral images. Most existing stripe noise removal (destriping) methods are often difficult to keep a good and robust efficacy in dealing with the real-life complex noise cases. In this paper, based on the intrinsic spectral properties of TIR images and stripe noise, we propose a novel two-stage transform domain destriping method called Fourier domain anomaly detection and spectral fusion (ADSF). Considering the principal frequencies polluted by stripe noise as outliers in the statistical spectrum of TIR images, our naive idea is first to detect the potential anomalies and then correct them effectively in the Fourier domain to reconstruct a desired destriping result. More specifically, anomaly detection for stripe frequencies is achieved through a regional comparison between the original spectrum and the expected spectrum that statistically follows a generalized Laplacian regression model, and then an anomaly weight map is generated accordingly. In the correction stage, we propose a guidance-image-based spectrum fusion strategy, which integrates the original spectrum and the spectrum of a guidance image via the anomaly weight map. The final reconstruction result not only has no stripe noise but also maintains image structures and details well. Extensive real experiments are performed on conventional TIR images and remote sensing spectral images, respectively. The qualitative and quantitative assessment results demonstrate the superior effectiveness and strong robustness of the proposed method.

Some aspects of vegetable pickling processes / Algunos aspectos de la elaboración de encurtidos vegetales

1997 ◽  
Vol 3 (1) ◽  
pp. 1-11 ◽  
Author(s):  
R.M. Nabais ◽  
F.X. Malcata
Keyword(s):  
Research And Development ◽  
Potential Application ◽  
Literature Survey ◽  
High Quality ◽  
Topical Review ◽  
Pickling Process ◽  
Textural Changes ◽  
Pickled Vegetables ◽  
Critical Literature

A topical review of pickled vegetables is presented that encompasses scientific considerations rele vant to processing with the ultimate goal of generating interest for this ancient preservation tech nique. The emphasis is placed on the potential application of pickling to a group of high quality vegetables, and directing research and development pertaining to pickling in a more educated way. A critical literature survey is presented on issues such as transport of solutes, in situ fermen tation, and textural changes throughout the pickling process.

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