The Turing Machine on the Dissecting Table

Since the beginning of the twenty-first century there has been an increasing awareness that software rep- resents a blind spot in new media theory. The growing interest in software also influences the argument in this paper, which sets out from the assumption that Alan M. Turing's concept of the universal machine, the first theoretical description of a computer program, is a kind of bachelor machine. Previous writings based on a similar hypothesis have focused either on a comparison of the universal machine and the bachelor machine in terms of the similarities of their structural features, or they have taken the bachelor machine as a metaphor for a man or a computer. Unlike them, this paper stresses the importance of the con- text as a key to interpreting the universal Turing machine as a bachelor machine and, potentially, as a self-portrait

A Portrait of Raymond Brutinel as a Young Man (Part II): The Future Canadian Corps Machine Gun Commander as a Business Entrepreneur in the Canadian West, 1908–1914

The following carries on from an article on Brutinel’s prewar life in Edmonton, Alberta that appeared in the previous issue of Canadian Military History. That account dealt with his arrival in Edmonton from France, the reasons for his immigration, and his adaptation to life in the newly-created Alberta capital. This included an initial involvement with the Edmonton French community, his editorship of the French language Le Courrier de l’Ouest, and his eventual breaking away from these pursuits into a career of business entrepreneurship. The following is specifically concerned with this latter phase of his career, in which, at the height of the ‘Laurier boom,’ he enjoyed great success. Included are his role as an agent for a syndicate of wealthy Montreal capitalists, his work as an explorer for coal deposits, and his promotion of numerous community development schemes, intended both to assist with community improvement and to earn money for his Montreal backers. These are recounted to clarify for the first time the kinds of activities that preoccupied Brutinel before the war and to help to illustrate his experiences and the capacities he developed and subsequently brought to his service as an officer with the Canadian Corps on the Western Front

A Portrait of Raymond Brutinel as a Young Man (Part I): The Future Machine Gun Commander in Edmonton, Alberta, 1905-1914

Raymond Brutinel remains one of the Canadian Corps’ most intriguing and little understood senior officers. A fair amount has been written about his service with the Canadian Corps, which generally portrays him as a significant commander and military innovator. But his life before he joined the Canadian military largely remains a mystery, which Brutinel himself did little to clear up. He had emigrated from France to Edmonton, Alberta in 1905 and lived there until the outbreak of war. Yet little is known in detail about this formative period of his life. Based largely upon Edmonton-based sources, the following aims to bring greater clarity to these crucial formative years than has been available before now. There is, in fact, little here of a specific military nature, which may itself be significant. But for the first time we have significant detail about what this background was. This in turn helps us to understand exactly the kind of experience, the personality, and the intellectual qualities that Brutinel brought to the job of Canadian Corps machine gun commander

Computationally efficient induction of classification rules with the PMCRI and J-PMCRI frameworks

In order to gain knowledge from large databases, scalable data mining technologies are needed. Data are captured on a large scale and thus databases are increasing at a fast pace. This leads to the utilisation of parallel computing technologies in order to cope with large amounts of data. In the area of classification rule induction, parallelisation of classification rules has focused on the divide and conquer approach, also known as the Top Down Induction of Decision Trees (TDIDT). An alternative approach to classification rule induction is separate and conquer which has only recently been in the focus of parallelisation. This work introduces and evaluates empirically a framework for the parallel induction of classification rules, generated by members of the Prism family of algorithms. All members of the Prism family of algorithms follow the separate and conquer approach.are increasing at a fast pace. This leads to the utilisation of parallel computing technologies in order to cope with large amounts of data. In the area of classification rule induction, parallelisation of classification rules has focused on the divide and conquer approach, also known as the Top Down Induction of Decision Trees (TDIDT). An alternative approach to classification rule induction is separate and conquer which has only recently been in the focus of parallelisation. This work introduces and evaluates empirically a framework for the parallel induction of classification rules, generated by members of the Prism family of algorithms. All members of the Prism family of algorithms follow the separate and conquer approach

Fast Deep Matting for Portrait Animation on Mobile Phone

Image matting plays an important role in image and video editing. However, the formulation of image matting is inherently ill-posed. Traditional methods usually employ interaction to deal with the image matting problem with trimaps and strokes, and cannot run on the mobile phone in real-time. In this paper, we propose a real-time automatic deep matting approach for mobile devices. By leveraging the densely connected blocks and the dilated convolution, a light full convolutional network is designed to predict a coarse binary mask for portrait images. And a feathering block, which is edge-preserving and matting adaptive, is further developed to learn the guided filter and transform the binary mask into alpha matte. Finally, an automatic portrait animation system based on fast deep matting is built on mobile devices, which does not need any interaction and can realize real-time matting with 15 fps. The experiments show that the proposed approach achieves comparable results with the state-of-the-art matting solvers.Comment: ACM Multimedia Conference (MM) 2017 camera-read