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| Author | : Colin J. Marsden |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2011 |
| Genre | : Locomotives |
| ISBN | : 9780711034945 |
The publication of the first edition of 'Traction Recognition' gave information about all of the locomotives and multiple units operated on Britain's main-line railways. This second edition is the fully revised and expanded volume, covering significant changes to the railways of Britain.
| Author | : |
| Publisher | : |
| Total Pages | : |
| Release | : 2011 |
| Genre | : |
| ISBN | : |
| Author | : Colin J. Marsden |
| Publisher | : |
| Total Pages | : 296 |
| Release | : 2014-11-11 |
| Genre | : |
| ISBN | : 9780711037922 |
The third edition of Colin Marsden's highly successful guide to all the locomotives and multiple units currently operating on Britain's railway network, now brought completely up to date
| Author | : Neamat El Gayar |
| Publisher | : Springer |
| Total Pages | : 298 |
| Release | : 2014-09-29 |
| Genre | : Computers |
| ISBN | : 3319116568 |
This book constitutes the refereed proceedings of the 6th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2014, held in Montreal, QC, Canada, in October 2014. The 24 revised full papers presented were carefully reviewed and selected from 37 submissions for inclusion in this volume. They cover a large range of topics in the field of learning algorithms and architectures and discussing the latest research, results, and ideas in these areas.
| Author | : Nihal Sri Ameresekere |
| Publisher | : AuthorHouse |
| Total Pages | : 535 |
| Release | : 2011 |
| Genre | : Business & Economics |
| ISBN | : 1456796739 |
An invaluable Book dealing with United Nations Convention Against Corruption (UNCAC), in force from December 2005, including its evolution, and related UN Convention Against Transnational Organize Crime. UNCAC - is an international legal instrument dealing with combating fraud, corruption and economic crime in public and private sectors, including political leaders and lackeys. Author discloses the formation of International Association of Anti-Corruption Authorities (IAACA), in Beijing in October 2006, with Inaugural Address by Chinese President, Hu Jintao. IAACA promotes and facilitates implementation globally of UNCAC, supported by United Nations Office on Drugs & Crime (UNODC). He reveals his endeavours to combat fraud, corruption and economic crime, prior to UNCAC. He demonstrates that whilst fraud and corruption, as endorsed by international research, is a major issue confronting people, how political leaders stride to power exploiting their anguish by committing to combat fraud and corruption, but once in power get bogged down in the quagmire of fraud and corruption, peddled by their lackeys, financing them. Disclosing real instances, he demonstrates how countries, having ratified UNCAC, are not honouring its obligations, but blatantly violating with impunity its obligations; he highlights dire need for international endeavour to deal with political leaders, pillaging and plundering the resources of people plunging them into abject poverty, as crimes against humanity. SAARC leaders acknowledge people in Asia are enslaved in abject poverty, and propound prosperity is not monopoly of a few, but are not committed to combat fraud and corruption. He reveals how World Bank and international agencies pontificate on combating fraud and corruption, but continue to fraternize with fraudulent and corrupt miscreants, demonstrating that mere rhetoric, only subverts UNCAC - an indispensable handbook for those combating fraud, corruption and economic crime.
| Author | : |
| Publisher | : |
| Total Pages | : 588 |
| Release | : 1924 |
| Genre | : Industries |
| ISBN | : |
| Author | : Simone Marinai |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 435 |
| Release | : 2008-01-10 |
| Genre | : Computers |
| ISBN | : 3540762795 |
The objective of Document Analysis and Recognition (DAR) is to recognize the text and graphical components of a document and to extract information. This book is a collection of research papers and state-of-the-art reviews by leading researchers all over the world. It includes pointers to challenges and opportunities for future research directions. The main goal of the book is to identify good practices for the use of learning strategies in DAR.
| Author | : Mohamed Kamel |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 977 |
| Release | : 2009-07-07 |
| Genre | : Computers |
| ISBN | : 3642026117 |
This book constitutes the refereed proceedings of the 6th International Conference on Image Analysis and Recognition, ICIAR 2009, held in Halifax, Canada, in July 2009. The 93 revised full papers presented were carefully reviewed and selected from 164 submissions. The papers are organized in topical sections on image and video processing and analysis; image segmentation; image and video retrieval and indexing; pattern analysis and recognition; biometrics face recognition; shape analysis; motion analysis and tracking; 3D image analysis; biomedical image analysis; document analysis and applications.
| Author | : M. Rebesco |
| Publisher | : Elsevier |
| Total Pages | : 793 |
| Release | : 2008-11-25 |
| Genre | : Science |
| ISBN | : 0080931863 |
Contourites are sediments deposited or substantially reworked by bottom currents. The study of contourites is crucial for several fields of fundamental and applied research: paleoclimatology and paleo-oceanography, since these fairly continuous and relatively high-resolution sediments hold the key for priceless information on the variability in circulation patter, current velocity, oceanographic history and basin interconnectivity; hydrocarbon exploration, since accumulation of source rocks may be favored by weak bottom currents, whereas "clean" deep-sea sands may be formed by robust flows; and slope stability, since low-permeability fine-grained contourites facilitate the formation of overpressurized gliding planes when fresh contourites with a high pore-water content becomes rapidly loaded, or when their rigid biosiliceous microfabric collapses due to diagenetic conditions. Despite its significance, this group of sediments is poorly known by the majority of non-specialists. Notwithstanding the growing interest and the intensified research in contourites, a textbook that might also serve as a reference book on contourites was missing until now. This book addresses all aspects of the knowledge in the field of contourites and provides an authoritative and comprehensive coverage of the subject. It also can serve as a standard reference work for non-specialists, and in particular postgraduate students, university teachers and lecturers, researchers and professionals who are seeking an authoritative source of information about contourites. Reviews both theoretical topics and case histories Provides practical advice on multidisciplinary research techniques Provides also nonspecialist users with an intuitively-accessible, cross-referenced, and comprehensive coverage of the knowledge in the field Provides a helpful tool for research in the preparation of classroom lectures
| Author | : Walter J. Scheirer |
| Publisher | : Springer Nature |
| Total Pages | : 115 |
| Release | : 2022-06-01 |
| Genre | : Computers |
| ISBN | : 3031018176 |
A common feature of many approaches to modeling sensory statistics is an emphasis on capturing the "average." From early representations in the brain, to highly abstracted class categories in machine learning for classification tasks, central-tendency models based on the Gaussian distribution are a seemingly natural and obvious choice for modeling sensory data. However, insights from neuroscience, psychology, and computer vision suggest an alternate strategy: preferentially focusing representational resources on the extremes of the distribution of sensory inputs. The notion of treating extrema near a decision boundary as features is not necessarily new, but a comprehensive statistical theory of recognition based on extrema is only now just emerging in the computer vision literature. This book begins by introducing the statistical Extreme Value Theory (EVT) for visual recognition. In contrast to central-tendency modeling, it is hypothesized that distributions near decision boundaries form a more powerful model for recognition tasks by focusing coding resources on data that are arguably the most diagnostic features. EVT has several important properties: strong statistical grounding, better modeling accuracy near decision boundaries than Gaussian modeling, the ability to model asymmetric decision boundaries, and accurate prediction of the probability of an event beyond our experience. The second part of the book uses the theory to describe a new class of machine learning algorithms for decision making that are a measurable advance beyond the state-of-the-art. This includes methods for post-recognition score analysis, information fusion, multi-attribute spaces, and calibration of supervised machine learning algorithms.
