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Evaluation of algorithms for Fake News Identification 28

Evaluation of Algorithms for Fake News Identification

引用

Conference on Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII

作者： Kalvoda, Brian Stoick, Brandon Snell, Nicholas Straub, Jeremy North Dakota State Univ Dept Comp Sci Fargo ND 58105 USA

ISBN: (纸本)9781510627024

Today, information is spread quickly throughout communities by means of simple messaging, group chats, and social media platforms. Because of the ease of use that these services provide, misinformation has become a common trend. The term 'fake news' has emerged as being a way to refer to all information shared in a manner that is meant to mislead a reader into thinking something is a true statement when it is not. Combating fake news has become a major topic, and many are attempting to find a way of detecting when something is real or made up. In this paper, we look at a database of news articles that have been classified as either real or fake and apply machine learning to automatically determine if something is deliberately misleading. algorithms have been developed to make judgements, classify articles in a database and judge new articles based on learned knowledge. This model combines multiple factors that may raise or lower confidence in the article being legitimate or illegitimate and provides a single confidence metric. This paper presents the development of these algorithms for assessing articles. It discusses the efficacy of using this approach and compares it to other classification approaches. It then presents the results of using the system to classify numerous presented articles and discusses the sufficiency of system accuracy for multiple applications. Finally, it discusses next steps in the fake news detection project and how these algorithms fit within them.

关键词： fake news classification systems algorithm development databases machine learning web 2.0 technologies

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HOW TO COMPUTE OFFSETS WITHOUT SELF-INTERSECTION 2

HOW TO COMPUTE OFFSETS WITHOUT SELF-INTERSECTION

引用

CONF ON CURVES AND SURFACES IN COMPUTER VISION AND GRAPHICS 2

作者： CHIANG, CS HOFFMANN, CM LYNCH, RE Purdue Univ. (United States)

ISBN: (纸本)081940747X

Traditional techniques for computing offsets are local in nature and lack good criteria for eliminating possible self-intersections of the offset. Methods based on integrating differential equations and image processing do not lack such criteria but seem to require constructing the solution in the ambient space, i.e., in one dimension larger than the offset. We investigate such methods.

关键词： Computer graphics Computer vision technology Machine vision Visualization Image segmentation Stars algorithm development Distance measurement Image processing Differential equations

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PURELY REAL CORRELATION FILTERS 3

PURELY REAL CORRELATION FILTERS

引用

CONF ON OPTICAL INFORMATION PROCESSING SYSTEMS AND ARCHITECTURES 3

作者： MAHALANOBIS, A SONG, SW Univ. of Maryland (United States)

ISBN: (纸本)0819406929

A general algorithm for synthesizing purely real correlation filters in the frequency domain is developed using the method of Lagrange multipliers. This method can be applied to filters which can be derived using linearly constrained quadratic minimization. Purely real minimum average correlation energy (MACE) filters are synthesized to illustrate our approach. Their performance is found to be comparable to original complex MACE filters. The main advantage of our approach is the generation of purely real filters which can be easily implemented in spatial light modulators without holograms and yield the correlation output on the zero-order beam.

关键词： Image filtering Detection and tracking algorithms Optical filters Holograms Optical signal processing algorithm development Linear filtering 3D acquisition Distortion Mahalanobis distance

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Color-based localization of patterns through distortion tolerant graph matching

Color-based localization of patterns through distortion tole...

引用

Conference on Machine Vision and 3-Dimensional Imaging Systems for Inspection and Metrology

作者： Pölzleitner, W Sensotech Forsch & Entwicklungs GmbH A-8010 Graz Austria

ISBN: (纸本)0819438545

We describe an application of color-based pattern matching, where a real-time vision system needs to detect and exactly localize textile patterns woven into carpet flooring material. These patterns are distributed on a large web in a periodic fashion. The task to be solved is recognition of these patterns by matching them with stored prototypes, computing the exact location and use this information to guide a cutting machine to produce perfect replica of desired tiles. The pattern matching part is challenging because of the presence of distortion, scaling, and rotation of the 2D patterns, and rather high demands on the localization accuracy. Also, the task needs to be solved under real-time constraints. We describe the building blocks used in our system. These are color-based segmentation of the patterns to achieve 2D representation in a graph-like manner, followed by graph-based matching. This block solved the graph-isomorphism problem in real-time tolerating distortions, additions, deletions, rotation, translation, and scale variations between the trained and tested versions of the patterns. We demonstrate the concept showing example images and matching results.

关键词： Distortion Cutting equipment algorithm development Convolution Cameras Fourier transforms Image classification RGB color model 3D image processing 3D metrology

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101-frame algorithm for phase shifting interferometry

101-frame algorithm for phase shifting interferometry

引用

Conference on Optical Inspection and Micromeasurements II

作者： deGroot, P Zygo Corp. (United States)

ISBN: (纸本)0819425184

Phase shifting interferometry (PSI) is one of the more common techniques for interpolation between interference fringes. A surface-profiling PSI instrument stores CCD image frames of fringe patterns for a series of reference phases; then applies a mathematical algorithm to recover phase information.1 Because the wavefront phase itself is a linear function of the surface profile, PSI provides a high-resolution measurement of the surface figure. In the early days, computational limits restricted the number of image frames to three or four, which does not leave much room for variation. As demands for precision have increased, so have the length and variety of phase-shifting algorithms. The state of the art has advanced to 5, 7 and even 15 frame varieties. At the same time, the level of sophistication in deriving these algorithms has risen dramatically.234 This paper explores the limits of these trends, while reviewing some of the mathematical techniques that we at Zygo use to analyze PSI performance. Finally, in an attemptto predict far into the future, I present a 101-frame algorithm that is highly resistant to error sources. This somewhat extreme example highlights the practical limits on algorithm length, which are actually more relaxed than one might think, provided that we loosen the definition of PSI.

关键词： Calibration Phase shifts algorithm development Error analysis Fourier transforms Phase interferometry Interference (communication) Spatial frequencies Wavefronts Charge-coupled devices

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Multiple target tracking and classification improvement using data fusion at node level using acoustic signals

Multiple target tracking and classification improvement usin...

引用

Conference on Unattended Ground Sensor Technologies and Applications VII

作者： Damarla, TR Whipps, G USA Res Lab ATTN AMSRD ARL SE SA Adelphi MD 20783 USA

ISBN: (纸本)0819457817

Target tracking and classification using passive acoustic signals is difficult at best as the signals are contaminated by wind noise, multi-path effects, road conditions, and are generally not deterministic. In addition, microphone characteristics, such as sensitivity, vary with the weather conditions. The problem is further compounded if there are multiple targets, especially if some are measured with higher signal-to-noise ratios (SNRs) than the others and they share spectral information. At the U. S. Army Research Laboratory we have conducted several field experiments with a convoy of two, three, four and five vehicles traveling on different road surfaces, namely gravel, asphalt, and dirt roads. The largest convoy is comprised of two tracked vehicles and three wheeled vehicles. Two of the wheeled vehicles are heavy trucks and one is a light vehicle. We used a super-resolution direction-of-arrival estimator, specifically the minimum variance distortionless response, to compute the bearings of the targets. In order to classify the targets, we modeled the acoustic signals emanated from the targets as a set of coupled harmonics, which are related to the engine-firing rate, and subsequently used a multivariate Gaussian classifier. Independent of the classifier, we find tracking of wheeled vehicles to be intermittent as the signals from vehicles with high SNR dominate the much quieter wheeled vehicles. We used several fusion techniques to combine tracking and classification results to improve final tracking and classification estimates. We will present the improvements (or losses) made in tracking and classification of all targets. Although improvements in the estimates for tracked vehicles are not noteworthy, significant improvements are seen in the case of wheeled vehicles. We will present the fusion algorithm used.

关键词： Sensors Detection and tracking algorithms Acoustics Signal to noise ratio algorithm development Data fusion Roads Databases Roentgenium Target detection

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BOUNDARY DETECTION IN NOISY VECTOR FIELDS

BOUNDARY DETECTION IN NOISY VECTOR FIELDS

引用

Conference on Image Processing - Medical Imaging 1995

作者： DJURIC, PM FWU, JK SUNY STONY BROOK DEPT ELECT ENGNSTONY BROOKNY 11794

ISBN: (纸本)0819417823

In this paper we propose a novel method for boundary detection of vector fields. The derivation is based on the assumption that the observed vector fields are realizations of a spatially quasi-stationary process and that the vector observations at each pixel site are generated by a parametric probability distribution function. The form of the function is known but its parameters are not. To detect and estimate the locations of the boundaries, we use Bayesian theory and adopt the maximum a posteriori probability (MAP) criterion. It is shown that the criterion is a penalized maximum likelihood, which is composed of two terms. One is a data term that monotonically decreases as the number of hypothesized boundaries increases. The other term is a penalty that penalizes for the complexity of the model used to describe the data. The MAP solution is the one that minimizes the criterion. Simulation results are provided that show the performance of the proposed method. The results on synthesized magnetic resonance (MR) images demonstrate that this technique yields highly accurate estimates of the number of boundaries and their locations even for low contrast-to-noise ratios.

关键词： Data modeling Magnetic resonance imaging Radon Tissues Probability theory algorithm development Detection and tracking algorithms Sensors Image processing Image segmentation

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Distributed Subterranean Exploration and Mapping with Teams of UAVs 8

Distributed Subterranean Exploration and Mapping with Teams ...

引用

8th Conference on Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR

作者： Rogers, John G., III Sherrill, Ryan E. Schang, Arthur Meadows, Shava L. Cox, Eric P. Byrne, Brendan Baran, David G. Curtis, J. Willard Brink, Kevin M. US Army Res Lab Computat & Informat Sci Directorate Washington DC 20310 USA US Air Force Res Lab Munit Directorate Washington DC 20330 USA Engility Corp Chantilly VA 20151 USA Dynetics Corp Huntsville AL USA

ISBN: (数字)9781510608825

ISBN: (纸本)9781510608818;9781510608825

Teams of small autonomous UAVs can be used to map and explore unknown environments which are inaccessible to teams of human operators in humanitarian assistance and disaster relief efforts (HA/DR). In addition to HA/DR applications, teams of small autonomous UAVs can enhance Warfighter c apabilities and provide operational stand-off for military operations such as cordon and search, counter-WMD, and other intelligence, surveillance, and reconnaissance (ISR) operations. This paper will present a hardware platform and software architecture to enable distributed teams of heterogeneous UAVs to navigate, explore, and coordinate their activities to accomplish a search task in a previously unknown environment.

关键词： Robots Sensors Clouds algorithm development Associative arrays Unmanned aerial vehicles Computer simulations Global Positioning System LIDAR Analytical research Intelligence systems Mobile communications Mobile robots Reconnaissance Strategic intelligence

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FLUORESCENT IMAGE TRACKING VELOCIMETRY algorithmS FOR QUANTITATIVE FLOW-ANALYSIS IN ARTIFICIAL ORGAN DEVICES

FLUORESCENT IMAGE TRACKING VELOCIMETRY ALGORITHMS FOR QUANTI...

引用

CONF ON BIOMEDICAL IMAGE PROCESSING AND BIOMEDICAL VISUALIZATION

作者： SINGH, R SHAFFER, F BOROVETZ, H Science Applications International Corp. (United States) U.S. Dept. of Energy (United States) Univ. of Pittsburgh Medical Ctr. (United States)

ISBN: (纸本)0819411388

A Fluorescent Image Tracking Velocimetry (FITV) system has been developed to produce two-dimensional velocity maps of flow fields. This system is capable of measurements at flow boundaries, such as the blood-biomaterial interfaces in artificial cardiac organs (in-vitro only). Three pulse-coding schemes--a single-pulse code, a dash-dot pulse code, and a constant- frequency pulse code--and associated image analysis algorithms have been developed and tested. These algorithms were applied to analyze flow in three types of artificial cardiac organs: the Novacor Left Ventricular Assist System, the Nimbus AxiPump, and the Hattler Intravenous Membrane Oxygenator. Results are presented and discussed in terms of image recognition. Despite the drawback of time-direction ambiguity, a constant-frequency pulse with a hybrid of constant-frequency and single-pulse analyses was found to provide optimum results for these applications.

关键词： Particles Image analysis Image processing Detection and tracking algorithms algorithm development Image compression Digital signal processing Error analysis Velocimetry Tolerancing

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HUMAN ARTICULATION SIMULATION 15

HUMAN ARTICULATION SIMULATION

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CONF ON APPLICATIONS OF DIGITAL IMAGE PROCESSING 15

作者： PEREZ, A CNRS-TIM3-TIMB (France)

ISBN: (纸本)0819409448

A dynamic model of the wrist articulation is presented in this article. Bones are reconstructed into three dimensional static models from Scanner or IRM computed images. As many computed vision models are possible, the demonstration is focused on the consequences on the dynamic model and on the contact detection procedure in particular. An adapted static model is then deduced. Two dynamic models are then presented, one based on mechanics, the other on geometric concepts.

关键词： Bone Visual process modeling 3D modeling Modeling Data modeling Optical spheres Solid modeling Digital image processing algorithm development Computer vision technology

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