979 resultados para pre-image attack


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1980 script for Attack a Big Mac

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Creative concept for Attack a Big Mac

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A Brock player hits the ball over in this match suspected to be from 87/88 or 88/89.

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Michael Haneke est reconnu pour la froideur de sa mise en scène depuis ses premiers films. Le cinéaste a mis en scène plusieurs personnages dans des situations violentes, personnages entourés de média. Le présent projet vise à identifier l’évolution de la démarche du cinéaste dans la représentation des média au sein de ses œuvres. Pour ce faire, j’ai déterminé trois phases dans sa filmographie. À l’aide de trois cadres théoriques distincts, je préciserai ces trois étapes : l’observation, à l’aide des écrits de Marshall McLuhan ; son passage à l’acte, avec les théories d’interaction du microsociologue Erving Goffman et ; l’affirmation, une possible solution par l’accompagnement avec les écrits de Serge Tisseron et Marie-José Mondzain. Je tenterai de déterminer, par l’analyse des films de Michael Haneke, que ces différentes phases dans sa filmographie visent l’éducation morale des spectateurs face à l’image.

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Background This paper presents a method that registers MRIs acquired in prone position, with surface topography (TP) and X-ray reconstructions acquired in standing position, in order to obtain a 3D representation of a human torso incorporating the external surface, bone structures, and soft tissues. Methods TP and X-ray data are registered using landmarks. Bone structures are used to register each MRI slice using an articulated model, and the soft tissue is confined to the volume delimited by the trunk and bone surfaces using a constrained thin-plate spline. Results The method is tested on 3 pre-surgical patients with scoliosis and shows a significant improvement, qualitatively and using the Dice similarity coefficient, in fitting the MRI into the standing patient model when compared to rigid and articulated model registration. The determinant of the Jacobian of the registration deformation shows higher variations in the deformation in areas closer to the surface of the torso. Conclusions The novel, resulting 3D full torso model can provide a more complete representation of patient geometry to be incorporated in surgical simulators under development that aim at predicting the effect of scoliosis surgery on the external appearance of the patient’s torso.

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Stimuli outside classical receptive fields have been shown to exert significant influence over the activities of neurons in primary visual cortexWe propose that contextual influences are used for pre-attentive visual segmentation, in a new framework called segmentation without classification. This means that segmentation of an image into regions occurs without classification of features within a region or comparison of features between regions. This segmentation framework is simpler than previous computational approaches, making it implementable by V1 mechanisms, though higher leve l visual mechanisms are needed to refine its output. However, it easily handles a class of segmentation problems that are tricky in conventional methods. The cortex computes global region boundaries by detecting the breakdown of homogeneity or translation invariance in the input, using local intra-cortical interactions mediated by the horizontal connections. The difference between contextual influences near and far from region boundaries makes neural activities near region boundaries higher than elsewhere, making boundaries more salient for perceptual pop-out. This proposal is implemented in a biologically based model of V1, and demonstrated using examples of texture segmentation and figure-ground segregation. The model performs segmentation in exactly the same neural circuit that solves the dual problem of the enhancement of contours, as is suggested by experimental observations. Its behavior is compared with psychophysical and physiological data on segmentation, contour enhancement, and contextual influences. We discuss the implications of segmentation without classification and the predictions of our V1 model, and relate it to other phenomena such as asymmetry in visual search.

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Aquest projecte s'ha dut a terme amb el Grup de visió per computador del departament d'Arquitectura i Tecnologia de Computadors (ATC) de la Universitat de Girona. Està enfocat a l'anàlisi d'imatges mèdiques, en concret s'analitzaran imatges de pròstata en relació a desenvolupaments que s'estan realitzant en el grup de visió esmentat. Els objectius fixats per aquest projecte són desenvolupar dos mòduls de processamentm d'imatges els quals afrontaran dos blocs important en el tractament d'imatges, aquests dos mòduls seran un pre-processat d'imatges, que constarà de tres filtres i un bloc de segmentació per tal de cercar la pròstata dintre de les imatges a tractar. En el projecte es treballarà amb el llenguatge de programació C++, concretament amb unes llibreries que es denominen ITK (Insight Toolkit ) i són open source enfocades al tractament d'imatges mèdiques. A part d'aquesta eina s'utilitzaran d'altres com les Qt que és una biblioteca d'eines per crear entorns gràfics

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This paper presents a new image data fusion scheme by combining median filtering with self-organizing feature map (SOFM) neural networks. The scheme consists of three steps: (1) pre-processing of the images, where weighted median filtering removes part of the noise components corrupting the image, (2) pixel clustering for each image using self-organizing feature map neural networks, and (3) fusion of the images obtained in Step (2), which suppresses the residual noise components and thus further improves the image quality. It proves that such a three-step combination offers an impressive effectiveness and performance improvement, which is confirmed by simulations involving three image sensors (each of which has a different noise structure).

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In content-based image retrieval, learning from users’ feedback can be considered as an one-class classification problem. However, the OCIB method proposed in [1] suffers from the problem that it is only a one-mode method which cannot deal with multiple interest regions. In addition, it requires a pre-specified radius which is usually unavailable in real world applications. This paper overcomes these two problems by introducing ensemble learning into the OCIB method: by Bagging, we can construct a group of one-class classifiers which emphasize various parts of the data set; this is followed by a rank aggregating with which results from different parameter settings are incorporated into a single final ranking list. The experimental results show that the proposed I-OCIB method outperforms the OCIB for image retrieval applications.

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Many disastrous events worldwide have impacted on the image of tourist destinations. The subsequent downturn in tourism numbers and tourism spending has been directly blamed on those events. Arrival numbers and hotel occupancy rates have shown an immediate downturn following disastrous events in recent years. A comprehensive crisis management plan should incorporate guidelines to manage the return to the pre-disaster stage and re-positioning of the destination to re-establish its image.

The destination image models discussed in the literature, to date, have not included crisis management as one of the important considerations for a destination. This paper advocates changes to tourism destination image models that recognise the importance of crisis management and its subsequent impact on destination image. Tourism industry planners and marketers need to have access to reliable theoretical frameworks that incorporate all aspects of destination image to guide strategy formulation. The suggested improved model incorporating crisis management status - the preparedness for and the ability to deal with a disaster at any level - is more likely to provide this opportunity.

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We examine the construction of new filters for computing local energy, and compare these filters with the Gabor filters and the three-point-filter of Venkatesh [l]. Further, we demonstrate that the effect of convolution with complex Gabor filters is to band-pass (with some differentiating effect) and compute the local energy of the result. The magnitude of the resulting local energy is then used to detect features [2], [3] (step features, texture etc.), and the phase is used to classify the detected features [l], [4] or provide disparity information for stereo [5] and motion work [6], [7]. Each of these types of information can be obtained at multiple resolutions, enabling the use of course to fine strategies for computing disparity, and allowing the discrimination of image textures on the basis of which parts of the Fourier domain they dominate [8], [9].

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"Monumental Vision” is a nuanced summary of Nietzschean nihilism and the Eternal Return as rite of passage for free subjects and as condensed image of speculative intelligence proper. Utilizing Gerhard Richter’s “Sheet 692” from Atlas, a series of photographs of the mountains and lake at Sils Maria, Switzerland, as summary judgment of the limit imposed by this condition on all systems of representation, this form of vision discloses the chiasmus embedded in consciousness itself. In constantly revisiting Sils, the very location where Nietzsche “suffered” the vision of the Eternal Return, Richter has engaged repeatedly this origin for what has come into his work via Nietzsche – that is, an elective veil that refuses all compromises with transcendence until such is merged with immanence.

As situated amidst modernist “ideology as intellection”, and subsequent nascent forms of anti-modernism, the Eternal Return as image also signals the return of the Kantian “aesthetic-teleological” synthesis in non-discursive or purely visual agency. As an elective form of aesthetic vision, and as image of time insofar as it registers an overwhelming externality (Other) that nominally swallows and empowers the subject at once, this excoriating sense of universal praxis underwrites artistic and architectural production of the highest order, renegotiating concepts of the paradigmatic.

Utilizing Georg Simmel’s late work on Rembrandt (1916) and his encounter with Schopenhauer and Nietzsche (1907), the essay suggests that by the 1920s the avant-garde premises of modernism had already come under attack by an ahistorical and synoptic vision here denoted “monumental vision,” which also contains the imprint of eschatological time (invoking a schism present in rationality as such). The two readings of this image perpetrated by Karl Löwith in Nietzsche’s Philosophy of the Eternal Recurrence of the Same (Nietzsches Philosophie der ewigen Wiederkehr des Gleichen, 1935), or the cosmological and the ethical, while considered irreconcilable by Löwith, have since the 1960s been recalibrated through the figure of the event to pose possible scenarios out of the stalemate of the confrontation between Self and Other (ipseity and alterity) buried within this image as limit. In this manner, the image of the Eternal Return stands at the boundary between two forms of time (or two worlds) and signals the irreducible confrontation present in speculative thought and the necessity of closure through an aesthetic vision that produces a unitary field for all creative acts.

Notably, Nietzsche’s startling vision from Zarathustra suggests that the limit imposed by the Eternal Return is also a mask for an austere condition within subjectivity closely resembling the conundrum of Fichte’s I facing I, or thought turned toward thought itself (absolute subjectivity as cipher for Being). In Alenka Zupančič’s reading, in The Shortest Shadow: Nietzsche’s Philosophy of the Two (2003), the Eternal Return effectively contains a secret formal function that grinds all “error” to dust – a highly suggestive interpretation that also neutralizes the schism introduced by Löwith between the cosmological and the ethical.

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Governments, schools, and curriculum authorities are increasingly recognizing that body image during adolescence is a public health issue that warrants attention in the school setting. After 30 years of eating disorder prevention research, and given the current interest in this area, it seems timely to review the research on interventions to improve body image in schools. We reviewed universal-selective, classroom-based programs that have been conducted since the year 2000, among adolescents, and found 16 eligible intervention programs. Seven of these programs were effective in improving body image on at least one measure, from pre to post test, though effect sizes were small (d = 0.22–0.48). These effective programs were conducted among younger adolescents 12.33–13.62 years, and included activities focusing on media literacy, self esteem, and the influence of peers. Implications for school personnel and curriculum authorities are discussed, and we provide recommendations for a strategic approach to future research in this area.