The Role of Components in Recognition across Changes of View

Perception ◽  
1996 ◽  
Vol 25 (1_suppl) ◽  
pp. 96-96
Author(s):  
J C Liter ◽  
H H Bülthoff
Keyword(s):  
Computational Models ◽  
Recognition Task ◽  
Vertical Axis ◽  
Target Object ◽  
General View ◽  
Distractor Object ◽  
Complex Features ◽  
Rotated Objects ◽  
Different Order

We examined the extent to which recognition of rotated objects is based on complex features, such as differently shaped components, when distractor objects may project images that are very similar to the studied images. The stimuli were unfamiliar computer-generated objects composed of four long thin components connected end to end. Each object was matched to a distractor object that had the same components arranged in a different order. The 3-D structure of the matched objects was otherwise the same—the lengths of the components in corresponding positions and the connection angles between them were identical. Subjects studied six target objects and then performed a 2AFC recognition task with each target and its matched distractor. Either the target, the distractor, or both were rotated ±40° about the vertical axis from the studied viewpoint. As expected, subjects chose the target object most often when it was not rotated (77.2% and 69.4% correct when the distractor was and was not rotated). However, subjects chose the target object 64.4% of the time when it was rotated and the distractor was not. In this case, the image of the distractor was more similar to the studied image than was the image of the target. Recognition of these objects was not based on pixel-based image similarity among studied and tested objects, but on a more general view-based similarity that takes into account a multitude of features, some more stable over changes of view than others. We discuss computational models that also rely on multiple view-based features.

Lung Computational Models and the Role of the Small Airways in Asthma

PEDIATRICS ◽  
2020 ◽  
Vol 146 (Supplement 4) ◽  
pp. S359.2-S360
Author(s):  
Jennilee Eppley ◽  
Todd Mahr
Keyword(s):  
Computational Models ◽  
Small Airways

LANDSLIDE RISK MANAGEMENT IN THE COASTAL ZONE OF THE KUIBYSHEV RESERVOIR DUE THE DESIGN OF HIGH-SPEED LINE "MOSCOW-KAZAN"

2017 ◽  
Author(s):  
Nikolai Petrov ◽  
Nikolai Petrov ◽  
Inna Nikonorova ◽  
Inna Nikonorova ◽  
Vladimir Mashin ◽  
...  
Keyword(s):  
High Speed ◽  
Computational Models ◽  
Stable State ◽  
Landslide Risk ◽  
Kuibyshev Reservoir ◽  
Stepped Surface ◽  
The Stability ◽  
Landslide Slope ◽  
The Village

High-speed railway "Moscow-Kazan" by the draft crosses the Volga (Kuibyshev reservoir) in Chuvashia region 500 m below the village of New Kushnikovo. The crossing plot is a right-bank landslide slope with a stepped surface. Its height is 80 m; the slope steepness -15-16o. The authors should assess the risk of landslides and recommend anti-landslide measures to ensure the safety of the future bridge. For this landslide factors have been analyzed, slope stability assessment has been performed and recommendations have been suggested. The role of the following factors have been analyzed: 1) hydrologic - erosion and abrasion reservoir and runoff role; 2) lithologyc (the presence of Urzhum and Northern Dvina horizons of plastically deformable rocks, displacement areas); 3) hydrogeological (the role of perched, ground and interstratal water); 4) geomorphological (presence of the elemental composition of sliding systems and their structure in the relief); 5) exogeodynamic (cycles and stages of landslide systems development, mechanisms and relationship between landslide tiers of different generations and blocks contained in tiers). As a result 6-7 computational models at each of the three engineering-geological sections were made. The stability was evaluated by the method “of the leaning slope”. It is proved that the slope is in a very stable state and requires the following measures: 1) unloading (truncation) of active heads blocks of landslide tiers) and the edge of the plateau, 2) regulation of the surface and groundwater flow, 3) concrete dam, if necessary.

scholarly journals Role of body stiffness in undulatory swimming: Insights from robotic and computational models

2016 ◽  
Vol 1 (7) ◽  
Author(s):  
Eric D. Tytell ◽  
Megan C. Leftwich ◽  
Chia-Yu Hsu ◽  
Boyce E. Griffith ◽  
Avis H. Cohen ◽  
...  
Keyword(s):  
Computational Models ◽  
Undulatory Swimming

scholarly journals Out of the loop? On the radical and the routine in urban big data

Urban Studies ◽  
2021 ◽  
pp. 004209802110140
Author(s):  
Sarah Barns
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Computational Models ◽  
Data Driven ◽  
Urban Systems ◽  
Out Of The Loop ◽  
Urban Futures ◽  
Urban Behaviour ◽  
The City

This commentary interrogates what it means for routine urban behaviours to now be replicating themselves computationally. The emergence of autonomous or artificial intelligence points to the powerful role of big data in the city, as increasingly powerful computational models are now capable of replicating and reproducing existing spatial patterns and activities. I discuss these emergent urban systems of learned or trained intelligence as being at once radical and routine. Just as the material and behavioural conditions that give rise to urban big data demand attention, so do the generative design principles of data-driven models of urban behaviour, as they are increasingly put to use in the production of replicable, autonomous urban futures.

scholarly journals B Chromosomes in Populations of Mammals Revisited

Genes ◽  
2018 ◽  
Vol 9 (10) ◽  
pp. 487 ◽  
Author(s):  
Mladen Vujošević ◽  
Marija Rajičić ◽  
Jelena Blagojević
Keyword(s):  
Mammalian Species ◽  
B Chromosome ◽  
Molecular Techniques ◽  
B Chromosomes ◽  
General View ◽  
Protein Coding ◽  
Host Parasite Interactions ◽  
Quantitative Characteristics ◽  
Host Parasite

The study of B chromosomes (Bs) started more than a century ago, while their presence in mammals dates since 1965. As the past two decades have seen huge progress in application of molecular techniques, we decided to throw a glance on new data on Bs in mammals and to review them. We listed 85 mammals with Bs that make 1.94% of karyotypically studied species. Contrary to general view, a typical B chromosome in mammals appears both as sub- or metacentric that is the same size as small chromosomes of standard complement. Both karyotypically stable and unstable species possess Bs. The presence of Bs in certain species influences the cell division, the degree of recombination, the development, a number of quantitative characteristics, the host-parasite interactions and their behaviour. There is at least some data on molecular structure of Bs recorded in nearly a quarter of species. Nevertheless, a more detailed molecular composition of Bs presently known for six mammalian species, confirms the presence of protein coding genes, and the transcriptional activity for some of them. Therefore, the idea that Bs are inert is outdated, but the role of Bs is yet to be determined. The maintenance of Bs is obviously not the same for all species, so the current models must be adapted while bearing in mind that Bs are not inactive as it was once thought.

The Ideology of the Letter of Aristeas

1958 ◽  
Vol 51 (2) ◽  
pp. 59-85 ◽  
Author(s):  
V. Tcherikover
Keyword(s):  
Special Kind ◽  
General View ◽  
Self Defense ◽  
Greek World

Modern scholars commonly regard the “Letter of Aristeas” as a work typical of Jewish apologetics, aiming at self-defense and propaganda, and directed to the Greeks. Here are some instances illustrating this general view. In 1903 Friedländer wrote that the glorification of Judaism in the Letter was no more than self-defense, though “the book does not mention the antagonists of Judaism by name, nor does it admit that its intention is to refute direct attacks.” Stein sees in the Letter “a special kind of defense which practices diplomatic tactics,” and Tramontano also speaks of “an apologetic and propagandist tendency.” Vincent characterizes it as “a small apologetic novel written for the Egyptians” (i.e. the Greeks in Egypt). Pfeiffer says: “This fanciful story of the origin of the Septuagint is merely a pretext for defending Judaism against its heathen denigrators, for extolling its nobility and reasonableness, and for striving to convert Greek speaking Gentiles to it.” Schürer classes the Letter with a special kind of literature, “Jewish propaganda in Pagan disguise,” whose works are “directed to the pagan reader, in order to make propaganda for Judaism among the Gentiles.” Andrews, too, believes that the role of a Greek was assumed by Aristeas in order “to strengthen the force of the argument and commend it to non-Jewish readers.” And even Gutman, who rightly recognizes that the Letter sprang “from an inner need of the educated Jew,” sees in it “a strong means for making Jewish propaganda in the Greek world.”

scholarly journals Data Augmentation-Assisted Makeup-Invariant Face Recognition

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Muhammad Sajid ◽  
Nouman Ali ◽  
Saadat Hanif Dar ◽  
Naeem Iqbal Ratyal ◽  
Asif Raza Butt ◽  
...  
Keyword(s):  
Face Recognition ◽  
Data Augmentation ◽  
Recognition Performance ◽  
Recognition Task ◽  
Face Images ◽  
Face Features ◽  
Face Datasets ◽  
Exponential Rates ◽  
Interpersonal Situations

Recently, face datasets containing celebrities photos with facial makeup are growing at exponential rates, making their recognition very challenging. Existing face recognition methods rely on feature extraction and reference reranking to improve the performance. However face images with facial makeup carry inherent ambiguity due to artificial colors, shading, contouring, and varying skin tones, making recognition task more difficult. The problem becomes more confound as the makeup alters the bilateral size and symmetry of the certain face components such as eyes and lips affecting the distinctiveness of faces. The ambiguity becomes even worse when different days bring different facial makeup for celebrities owing to the context of interpersonal situations and current societal makeup trends. To cope with these artificial effects, we propose to use a deep convolutional neural network (dCNN) using augmented face dataset to extract discriminative features from face images containing synthetic makeup variations. The augmented dataset containing original face images and those with synthetic make up variations allows dCNN to learn face features in a variety of facial makeup. We also evaluate the role of partial and full makeup in face images to improve the recognition performance. The experimental results on two challenging face datasets show that the proposed approach can compete with the state of the art.

scholarly journals A Neurocomputational Theory of Nightmares: The role of formal properties of nightmare images

2021 ◽  
Author(s):  
Patrick McNamara ◽  
Wesley J Wildman ◽  
George Hodulik ◽  
David Rohr
Keyword(s):  
Individual Difference ◽  
Parameter Space ◽  
Computational Models ◽  
Computational Simulation ◽  
Time Varying ◽  
Individual Difference Variables ◽  
Image Characteristics ◽  
Nightmare Disorder ◽  
Formal Properties

Abstract Study Objectives To test and extend Levin & Nielsen’s (2007) Affective Network Dysfunction (AND) model with nightmare disorder (ND) image characteristics, and then to implement the extension as a computational simulation, the Disturbed Dreaming Model (DDM). Methods We used AnyLogic V7.2 to computationally implement an extended AND model incorporating quantitative effects of image characteristics including valence, dominance, and arousal. We explored the DDM parameter space by varying parameters, running approximately one million runs, each for one month of model time, varying pathway bifurcation thresholds, image characteristics, and individual-difference variables to quantitively evaluate their combinatory effects on nightmare symptomology. Results The DDM shows that the AND model extended with pathway bifurcations and image properties is computationally coherent. Varying levels of image properties we found that when nightmare images exhibit lower dominance and arousal levels, the ND agent will choose to sleep but then has a traumatic nightmare, whereas, when images exhibit greater than average dominance and arousal levels, the nightmares trigger sleep-avoidant behavior, but lower overall nightmare distress at the price of exacerbating nightmare effects during waking hours. Conclusions Computational simulation of nightmare symptomology within the AND framework suggests that nightmare image properties significantly influence nightmare symptomology. Computational models for sleep and dream studies are powerful tools for testing quantitative effects of variables affecting nightmare symptomology and confirms the value of extending the Levin & Nielsen AND model of disturbed dreaming/ND.

scholarly journals Indirect associations in learning semantic and syntactic lexical relationships

2019 ◽  
Author(s):  
M. Alex Kelly ◽  
David Reitter ◽  
Robert West ◽  
Moojan Ghafurian
Keyword(s):  
Computational Models ◽  
Human Memory ◽  
Learning Support ◽  
Distributional Semantics ◽  
Grammatical Structure ◽  
Word Associations ◽  
Part Of Speech ◽  
Degree Of Separation ◽  
Mechanisms Of Memory

Computational models of distributional semantics (a.k.a. word embeddings) represent a word's meaning in terms of its relationships with all other words. We examine what grammatical information is encoded in distributional models and investigate the role of indirect associations. Distributional models are sensitive to associations between words at one degree of separation, such as 'tiger' and 'stripes', or two degrees of separation, such as 'soar' and 'fly'. By recursively adding higher levels of representations to a computational, holographic model of semantic memory, we construct a distributional model sensitive to associations between words at arbitrary degrees of separation. We find that word associations at four degrees of separation increase the similarity assigned by the model to English words that share part-of-speech or syntactic type. Word associations at four degrees of separation also improve the ability of the model to construct grammatical English sentences. Our model proposes that human memory uses indirect associations to learn part-of-speech and that the basic associative mechanisms of memory and learning support knowledge of both semantics and grammatical structure.

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