This thesis presents a method for identifying resonant cultural phenomena and uses it to identify themes in the representations of millers, tailors, and weavers in early modern English proverbs, jests, and ballads. It then examines whether these stereotypes appear in the records of defamation and abusive language from four different contemporary courts. It argues that all three trades were associated with habitual occupational dishonesty, that millers had a reputation for super-sexuality, and that tailors were considered to be poor and inferior to other men. However, it also argues that these stereotypes were conditioned by generic characteristics of proverbs, jests, and ballads and therefore that stereotypes should be assessed within and across different media. Finally, it argues that the dishonesty, super-sexuality, and inferiority associated with millers, tailors, and weavers suggest that perceived moral character played a more important role in the creation of stereotypes than perceived economic or social position, political or religious allegiance, or ethnic or regional background.

Master of Science / Department of Psychological Sciences / Lester C. Loschky / Past research has argued that scene gist, a holistic semantic representation of a scene acquired within a single fixation, is extracted using purely feed-forward mechanisms. Many scene gist recognition studies have presented scenes from multiple categories in randomized sequences. We tested whether rapid scene categorization could be facilitated by priming from sequential expectations. We created more ecologically valid, first-person viewpoint, image sequences, along spatiotemporally connected routes (e.g., an office to a parking lot). Participants identified target scenes at the end of rapid serial visual presentations. Critically, we manipulated whether targets were in coherent or randomized sequences. Target categorization was more accurate in coherent sequences than in randomized sequences. Furthermore, categorization was more accurate for a target following one or more images within the same category than following a switch between categories. Likewise, accuracy was higher for targets more visually similar to their immediately preceding primes. This suggested that prime-to-target visual similarity may explain the coherent sequence advantage. We tested this hypothesis in Experiment 2, which was identical except that target images were removed from the sequences, and participants were asked to predict the scene category of the missing target. Missing images in coherent sequences were more accurately predicted than missing images in randomized sequences, and more predictable images were identified more accurately in Experiment 1. Importantly, partial correlations revealed that image predictability and prime-to-target visual similarity independently contributed to rapid scene gist categorization accuracy suggesting sequential expectations prime and thus facilitate scene recognition processes.

L’activité perceptive du sujet semble être impactée par les actions qu’il peut effectivement réaliser à l’égard de son environnement. Néanmoins, il semble que les possibilités d’action du sujet soient le plus souvent envisagées comme des propriétés objectives de l’environnement si bien qu’elles sont généralement décrites comme étant préparatoires à l’action. Ce travail de thèse s’est consacré à défendre l’idée que d’une part, ces possibilités d’action sont des propriétés émergentes de la relation sujet-environnement et que d’autre part, elles sont susceptibles d’avoir un rôle fonctionnel constitutif pour l’activité perceptive. Dans une première série d’études, nous avons observé que des modulations dans les possibilités d’action conduisaient à un renversement des effets de facilitation lorsque des sujets devaient catégoriser des objets préhensibles. Dans une seconde série d’étude, nous avons observé que la capacité à détecter un objet parmi un ensemble d’autres était impactée par les potentiels d’action suggérés par les objets mais également, modulée par l’engagement moteur du sujet dans la tâche. Enfin, dans une troisième série d’études, nous avons mis en évidence que les possibilités d’action pourraient occuper un rôle fonctionnel significatif pour l’activité perceptive du sujet. Ce dernier travail met en effet en évidence que lors de situations perceptives ambiguës, la manière dont est catégorisé un objet semble dépendre de la capacité du sujet à pouvoir le saisir efficacement. L’ensemble de ces résultats semble indiquer que les possibilités d’action sont bien des propriétés du couplage sujet-environnement et occupent une place majeure dans l’activité perceptive. Plus généralement, ces travaux constituent des arguments en faveur d’une prise en compte de l’ensemble de la situation sujet-environnement ainsi que de l’importance de la signification des actions du sujet en fonction des contraintes qui s’exercent sur lui ici et maintenant. / Perceptual activity seems to be impacted by the actions the subject can actually carry out with regard to its environment. Nevertheless, it seems that subject action possibilities are most often considered as objective properties of the environment so that they are generally described as being preparatory to action. This thesis work has been devoted to defending the idea that on the one hand, these possibilities of action are emergent properties of the subject-environment relationship and on the other hand, they are likely to have a constitutive functional role for perceptual activity. In a first series of studies we observed that modulations in the possibilities of action lead to a reversal of the facilitation effects when subjects were to categorize prehensile objects. In a second series of studies we observed that the ability to detect an object among a set of others was impacted by the action potentials suggested by the objects but also modulated by the subject's driving engagement in the task. Finally, in a third series of studies, we have shown that the possibilities of action could play a significant functional role for subject perceptual activity. Indeed, this last work shows that in ambiguous perceptual situations, the way in which an object is categorized seems to depend on the ability of the subject to grasp it effectively. All these results seem to indicate that the action possibilities are properties of the subject-environment coupling and occupy a major place in the perceptual activity. More generally, these works constitute some arguments in favor of taking into account the whole subject-environment situation as well as the importance of the meaning of the subject actions according to the constraints that are exerted on him, here and now.

A área de reconhecimento de objetos tem assistido a um impressionante progresso na última década. O estudo de descritores, aliado à estratégias de amostragem usando quantizações espaciais e a combinação de classificadores têm permeado o estado da arte nos últimos anos. Neste trabalho é proposta uma nova quantização espacial com número arbitrário de níveis e subdivisões arbitrárias de regiões. Regiões adjacentes possuem sobreposição gerando redundância na representação destas regiões de fronteiras e, assim, evitando as quebras que acontecem nas pirâmides espaciais tradicionais que prejudicam a interpretação das formas. Apesar de melhorar o desempenho da abordagem do saco de palavras, as pirâmides espaciais não são robustas a variações na orientação dos objetos na imagem. Foi também proposto neste trabalho, uma divisão espacial utilizando regiões circulares concêntricas que aumentam a robustez a rotação dos objetos na imagem em aproximadamente 80% quando comparada às pirâmides espaciais. Além das novas divisões espaciais, é proposto neste trabalho um novo descritor baseado na aplicação de granulometria morfológica no mapa de bordas da imagem original. Este descritor foi utilizado na criação de modelos de classes em aplicações de categorização de objetos utilizando uma base de dados pública com resultados superiores aos do melhor descritor baseado em bordas reportado pela literatura. Todas estas novas técnicas propostas foram utilizadas em um problema desafiador de categorização de objetos de classes muito parecidas. Foi utilizado um subconjunto da base de pássaros Caltech-UCSD Birds-200 2011 com resultados comparáveis aos melhores resultados reportados pela literatura. A abordagem proposta cria uma classificação de dois níveis e utiliza modelos específicos por classe o que é intuitivo, pois cada espécie de pássaro possui características muito sutis que as diferenciam das demais espécies testadas. Vários descritores são utilizados na criação dos modelos de classes e uma combinação de classificadores gera a rotulação final para a amostra. O descritor proposto neste trabalho esteve presente no melhor modelo de 11 das 13 classes testadas e o resultado final obtido pela técnica de categorização proposta é o melhor resultado utilizando a abordagem do saco de palavras. / The object recognition area has experienced an impressive progress in the last decade. The study of descriptors, together with a sampling strategy using spatial quantization and the combination of classifiers have been presented in the state of art in recent years. This work proposes a new spatial quantizations with an arbitrary number of levels and divisions in each level. Adjacent regions have overlapping areas that generate redundant representation and avoid breakages in the structures that are in their border regions as it happens in the traditional spatial pyramids and impairs the correct interpretation of these structures. Despite spatial pyramids to improve the performance of the bag-of-words approach in object recognition, they are not robust to changes in object orientation in the image. It was also proposed, in this work, a spatial division using concentric circular regions that is almost 80% more robust to rotation of objects when compared to the spatial pyramids using rectangular divisions. In addition to the new spatial division of the image, it is proposed a new granulometric-based descriptor that it is applied to the map of edges of the original image. This descriptor was used in the building of categorys models for object categorization in a public database and showed a better performance than the most used edge-based descriptor reported in literature. All these new proposed techniques were used in a challenge problem of object categorization of very similar classes. It was used a subset of the public database Caltech-UCSD Birds-200 2011 and the method obtained results compared to the best results reported in the literature. The proposed approach uses a 2-level classification and builds class-specific models that are an intuitive way to model the species of birds as very subtle characteristics differ in each tested class of birds. Many descriptors are used in the building of models of species and a combination of classifiers generates the final label for a tested sample. The descriptor proposed here were presented in 11 of 13 best models of birds classes. The final result obtained by the proposed object categorization method is the best one using the bag-of-words approach.

This research examines how comparison of objects underlies free categorization, an essential component of human cognition. Previous results using our binomial labeling task have shown that classification probabilities are affected in a graded manner as a function of similarity, i.e., the number of features shared by two objects. In a similarity rating task, people also rated objects sharing more features as more similar. However, the effect of matching features was approximately linear in the similarity task, but superadditive (exponential) in the labeling task. We hypothesize that this difference is due to the fact that people must select specific objects to compare prior to deciding whether to put them in the same category in the labeling task, while they were given specific pairs to compare in the rating task. Thus, the number of features shared by two objects could affect both stages (selection and comparison) in the labeling task, which might explain their super-additive effect, whereas it affected only the latter comparison stage in the similarity rating task. In this experiment, participants saw visual displays consisting of 16 objects from three novel superordinate artificial categories, and were asked to generate binomial (letter-number) labels for each object to indicate their super-and-subordinate category membership. Only one object could be viewed at a time, and these objects could be viewed in any order. This made it possible to record what objects people examine when labeling a given object, which in turn permits separate assessment of stage 1 (selection) versus stage 2 (comparison/decision). Our primary objective in this experiment was to determine whether the increase in category labeling probabilities as a function of level of match (similarity) can be explained by increased sampling alone (stage 1 model), an increased perception of similarity following sampling (stage 2 model), or some combination (mixed model). The results were consistent with earlier studies in showing that the number of matching discrete features shred by two objects affected the probability of same-category label assignment. However, there was no effect of the level of match on the probability of visiting the first matching object while labeling the second. This suggests that the labeling effect is not due to differences in the likelihood of comparing matching objects (stage 1) as a function of the level of match. Thus, the present data provides support for a stage 2 only model, in which the evaluation of similarity is the primary component underlying the level of match effect on free categorization.

Social identity theory (SIT) is a robust theory that explains in-group versus out-group behaviors. Two qualities of one's social identity include emotional connection and social connection with others, which someone who is experiencing loneliness tends to lack in their current situation. This dissertation explored whether when one's social identity becomes salient it results in a lower evaluation of one's current state of loneliness. An experiment was conducted in which college student participants, who were 18 years of age or older and currently enrolled in college courses, were randomly assigned to a social identity saliency group (college student) or 1 of 3 control conditions (personal identity group, cognitive control condition, and no prime condition). The sample consisted of 207 participants of which 189 were analyzed for social loneliness and 190 were analyzed for emotional loneliness, after excluding participants who did not meet scoring criteria. To analyze the data a planned contrast procedure was conducted in which the social identity group's mean was compared to the combined means of the 3 control conditions. Results indicated that when social identity is made salient, participants report a lower level of emotional and social loneliness when compared to the other 3 conditions. Loneliness, which is being considered a major public health crisis, is becoming more common in modern society, making finding mechanisms to reduce loneliness important. This research supports the notion that social identification can reduce one's evaluation of loneliness. As an example, from the findings in this research, to reduce loneliness among college students, college programs should focus on the positive attributions of being a college student.

Previous work shows that young children focus on holistic (or overall) similarity and older children focus on dimensional similarity (selectively attending to one property to the exclusion of others). Research on early word learning, however, suggests that process of learning new words trains attention towards category-relevant dimensions via regularities in the linguistic and physical environment. Thus, over development, children learn to attend to specific dimensions when making nominal category judgments--they selectively attend to shape, for example, when learning names for solid objects. In four experiments, I asked a question fundamental to our understanding of dimensional attention: does word learning scaffold attention to dimensional similarity in more general contexts. The results of Experiment 1 showed that children who are holistic classifiers are slower than dimensional classifiers to learn categories of objects that vary along both a category-relevant dimension (e.g. size) and a category-irrelevant dimension (e.g. brightness). However, the results of Experiment 2 showed that when children were presented with incidental labels during category learning, holistic classifiers learn the categories as quickly as dimensional classifiers. In a follow-up similarity classification task, children who had been holistic classifiers showed an increase in dimensional attention only if they had been in the label experiment. In Experiments 3 and 4, I examined category learning with and without a label in children who preferred to selectively attend to one dimension of similarity (e.g. brightness) regardless of whether this means selecting dimensional or holistic matches in a classification task. The results of these experiments provide a more complete picture of the continuous developmental trajectory of increasing selective and flexible dimensional attention. By showing how labels support dimensional attention, these results clarify the processes involved in development of similarity perception and potentially unify our understanding of attentional processes in word learning with those in a broader context.

Neutrosophic logic is a relatively new logic that is a generalization of fuzzy logic. In this dissertation, for the first time, neutrosophic logic is applied to the field of classifiers where a support vector machine (SVM) is adopted as the example to validate the feasibility and effectiveness of neutrosophic logic. The proposed neutrosophic set is integrated into a reformulated SVM, and the performance of the achieved classifier N-SVM is evaluated under an image categorization system. Image categorization is an important yet challenging research topic in computer vision. In this dissertation, images are first segmented by a hierarchical two-stage self organizing map (HSOM), using color and texture features. A novel approach is proposed to select the training samples of HSOM based on homogeneity properties. A diverse density support vector machine (DD-SVM) framework that extends the multiple-instance learning (MIL) technique is then applied to the image categorization problem by viewing an image as a bag of instances corresponding to the regions obtained from the image segmentation. Using the instance prototype, every bag is mapped to a point in the new bag space, and the categorization is transformed to a classification problem. Then, the proposed N-SVM based on the neutrosophic set is used as the classifier in the new bag space. N-SVM treats samples differently according to the weighting function, and it helps reduce the effects of outliers. Experimental results on a COREL dataset of 1000 general purpose images and a Caltech 101 dataset of 9000 images demonstrate the validity and effectiveness of the proposed method.

Diss. (sammanfattning) Umeå : Umeå universitet, 2007. / Härtill 4 uppsatser.

<p>In today’s ever changing business landscape, technology and innovation projects play a key role in creating competitive advantages for an organisation. However, many such projects are often hampered by under performance, cost overruns and lower than predicted revenue (Morris and Hough, 1987 and Christoffersen et al, 1992). This seems to indicate the lack of risk management in the way we manage projects. On the other hand, it is impossible to have any projects without risks. Thus, it is essential to have effective risk management rather than trying to eliminate risk out of projects. These factors have guided this study to focus on understanding the way risk assessment is performed in international technology projects. It aims to identify the link between risk assessment and project categorization, drawing from the ransaction cost economics (TCE) perspective. A qualitative approach applying semi-structured interviews was conducted with ten interviewees holding different roles in the engineering and technology projects within a multinational company with presence in more than 100 countries around the world. The application of the data display and analysis technique by Miles and Huberman (1984, 1994) enables initial findings to be presented using the “dendogram” method, thereafter, leading to the development of a two-dimensional risk assessment matrix as the final result of this study. </p>