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A collection of stories of men, their units and the actions they took part in during the conflict of 1914–1918, together with stories other points of interest along the old Western Front. Each story is supported with photographs and maps showing the area of the action as it was then, and is today. The content feature-titles are: Larch Wood (Railway Cuttings) Cemetery; Second Lieutenant Keith Rae; Bellewaarde Farm; Major William Redmond; H. H. Prince Maurice of Battenberg; Major Cropper?s Craters; Sergeant Harry Combes D.C.M., R.G.A.; A Cemetery Lost; A Scottish Soldier; Along the Messines Ridge; Halloween Night 1914; A Bloodless Victory; Old Bill is Born; The Yanks are Coming; The Lost Mines of Messines; Hospitalization South of Poperinghe and Canada at Ypres.
Concentrating on the Ploegsteert and Neuve Eglise sectors in Belgium, this book features stories on such well known figures as sculptor Charles Sargent Jagger, ARA; R. Poulton Palmer and 'Tanky' Turner, great friends and rugby football captains of England and Scotland respectively; as well the discovery and eventual burial of a Lancashire Fusilier who was killed in action in 1914; the research leading to the erection in 2002 of a 'Believed to be buried' headstone in the Strand cemetery of an Australian killed in action at Messines in 1917; the action in 1914 that initiated the birth of the infamous 'Birdcage' on the western edge of Ploegsteert Wood and other stories of interest to enthusiasts of the Great War. Another in the Cameos of the Western Front series on men, minor actions and battlefield sites, this book, like its predecessors is an ideal 'companion' for the battlefield visitor.
The third in the series of a collection of stories about the men the actions and the places of interest for the battlefield visitor to the old Western Front. This book features:- A Soldier for a Year (Private David Ross); - A Very British Grenadier (Captain Pixley); - An Artist at War (Ernest Carlos); - Into Battle - Julian of the ‘Ard ‘Ead Julian Grenfell); - Adolf Hitler at Ypres; - Michael O’Leary V.C. The Wild Colonial Boy; - No Prisoners for The Dorsets (The Dorsetshire Regiment at Hill 60); - Tanks at St. Julien; - Corporal McBride and the 2nd Worcesters at Neuve Eglise; - Triumph and Tragedy (The 6th DCLI at Sanctuary/Zouave woods 1915) and The Five Forgotten Mines of Messines (unexploded - and four of them still there, the other 'blew' in 1955).
The two volume set LNCS 4351 and LNCS 4352 constitutes the refereed proceedings of the 13th International Multimedia Modeling Conference, MMM 2007, held in Singapore in January 2007. Based on rigorous reviewing, the program committee selected 123 carefully revised full papers of the main technical sessions and 33 revised full papers of four special sessions from a total of 392 submissions for presentation in two volumes.
The fields of computer vision and image processing are constantly evolving as new research and applications in these areas emerge. Staying abreast of the most up-to-date developments in this field is necessary in order to promote further research and apply these developments in real-world settings. Computer Vision: Concepts, Methodologies, Tools, and Applications is an innovative reference source for the latest academic material on development of computers for gaining understanding about videos and digital images. Highlighting a range of topics, such as computational models, machine learning, and image processing, this multi-volume book is ideally designed for academicians, technology professionals, students, and researchers interested in uncovering the latest innovations in the field.
The task of object localization in medical images is a corner stone of automatic image processing and a prerequisite for other medical imaging tasks. In this thesis, we present a general framework for the automatic detection and localization of spatially correlated key points in medical images based on a conditional random field (CRF). The problem of selecting suitable potential functions (knowledge sources) and defining a reasonable graph topology w.r.t. the dataset is automated by our proposed data-driven CRF optimization. We show how our fairly simple setup can be applied to different medical datasets involving different image dimensionalities (i.e., 2D and 3D), image modalities (i.e., X-ray, CT, MRI) and target objects ranging from 2 to 102 distinct key points by automatically adapting the CRF to the dataset. While the used general "default" configuration represents an easy to transfer setup, it already outperforms other state-of-the-art methods on three out of four datasets. By slightly gearing the proposed approach to the fourth dataset, we further illustrate that the approach is capable of reaching state-of-the-art performance of highly sophisticated and data-specific deep-learning-based approaches. Additionally, we suggest and evaluate solutions for common problems of graph-based approaches such as the reduced search space and thus the potential exclusion of the correct solution, better handling of spatial outliers using latent variables and the incorporation of invariant higher order potential functions. Each extension is evaluated in detail and the whole method is additionally compared to a rivaling convolutional-neural-network-based approach on a hard problem (i.e., the localization of many locally similar repetitive target key points) in terms of exploiting the spatial correlation. Finally, we illustrate how follow-up tasks, segmentation in this case, may benefit from a correct localization by reaching state-of-the-art performance using off-the-shelve methods in combination with our proposed method.
This book constitutes the refereed proceedings of the 18th International Conference on Engineering Applications of Neural Networks, EANN 2017, held in Athens, Greece, in August 2017. The 40 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 83 submissions. The papers cover the topics of deep learning, convolutional neural networks, image processing, pattern recognition, recommendation systems, machine learning, and applications of Artificial Neural Networks (ANN) applications in engineering, 5G telecommunication networks, and audio signal processing. The volume also includes papers presented at the 6th Mining Humanistic Data Workshop (MHDW 2017) and the 2nd Workshop on 5G-Putting Intelligence to the Network Edge (5G-PINE).