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The Evolutionary Self-Structuring Classifier
No full textThis document is the Ph.D. research proposal made by Jamie Sherrah at the University of Adelaide, South Australia, in April 1996. The proposed research is titled "ESC: The Evolutionary Self-Structuring Classifier", and will be conducted under the joint supervision of Professor R. E. Bogner and Dr. A. Bouzerdoum. The purpose of this report is to discuss the problems identified, to describe how the proposed investigations will address these problems, and to justify the novelty and significance of the research. 2.2 The Proble
Effective semantic pixel labelling with convolutional networks and Conditional Random Fields
No full textLarge amounts of available training data and increasing computing power have led to the recent success of deep convolutional neural networks (CNN) on a large number of applications. In this paper, we propose an effective semantic pixel labelling using CNN features, hand-crafted features and Conditional Random Fields (CRFs). Both CNN and hand-crafted features are applied to dense image patches to produce per-pixel class probabilities. The CRF infers a labelling that smooths regions while respecting the edges present in the imagery. The method is applied to the ISPRS 2D semantic labelling challenge dataset with competitive classification accuracy.Sakrapee Paisitkriangkrai, Jamie Sherrah, Pranam Janney, and Anton Van Den Henge
Improved Impulse Noise Removal with Generalized Median Filter
No full textThe median filter is widely used for removing impulse noise in images due to its good denoising property whilst maintaining reasonably edge preservation. When the noise level is large, it can be further improved by combining with a detail-preserving regularization to ensure satisfactory edge recovery. We propose an improvement over a state-of-the-art impulse noise removal method which was demonstrated to cope well with very high impulsive noise levels. We introduce a novel generalized median filter, which is a new perspective based on latest advances in matrix decomposition and allows an explicit noise modelling. We provide comprehensive theoretical justifications for the proposed generalized median filter and demonstrate its effectiveness in recovering noisy images tempered with salt-and-pepper corruptions when combined with detail-preserving regularization over other relevant alternatives
Exploiting Context in Gesture Recognition
No full text. Recognition of human behaviour is receiving increasing attention in computer vision, and has many useful applications. In this work we investigate how head pose can be exploited to impose contextual constraints for the recognition of gestures. The method is demonstrated in a video conferencing scenario involving three people who use gestures to control the camera and focus of attention. 1 Introduction Computational modelling of human behaviour is becoming an important area of computer vision. One application is visually mediated interaction (VMI), in which the computer acts as an intelligent mediator between two remotelycommunicating parties. This requires machine understanding of the visual scene to control an active camera. To perform VMI, recognition and interpretation of human gestures are required. It has been observed during collection of our gesture database that certain variations in head pose are closely coupled with some gestures. When pointing to the right, for example, ..
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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