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This book provides a deep analysis and wide coverage of the very strong trend in computer vision and visual indexing and retrieval, covering such topics as incorporation of models of Human Visual attention into analysis and retrieval tasks. It makes the bridge between psycho-visual modelling of Human Visual System and the classical and most recent models in visual content indexing and retrieval. The large spectrum of visual tasks, such as recognition of textures in static images, of actions in video content, image retrieval, different methods of visualization of images and multimedia content based on visual saliency are presented by the authors. Furthermore, the interest in visual content is modelled with the means of the latest classification models such as Deep Neural Networks is also covered in this book. This book is an exceptional resource as a secondary text for researchers and advanced level students, who are involved in the very wide research in computer vision, visual information indexing and retrieval. Professionals working in this field will also be interested in this book as a reference.
Explainable Deep Learning AI: Methods and Challenges presents the latest works of leading researchers in the XAI area, offering an overview of the XAI area, along with several novel technical methods and applications that address explainability challenges for deep learning AI systems. The book overviews XAI and then covers a number of specific technical works and approaches for deep learning, ranging from general XAI methods to specific XAI applications, and finally, with user-oriented evaluation approaches. It also explores the main categories of explainable AI – deep learning, which become the necessary condition in various applications of artificial intelligence. The groups of methods s...
This book provides the reader with the fundamental knowledge in the area of deep learning with application to visual content mining. The authors give a fresh view on Deep learning approaches both from the point of view of image understanding and supervised machine learning. It contains chapters which introduce theoretical and mathematical foundations of neural networks and related optimization methods. Then it discusses some particular very popular architectures used in the domain: convolutional neural networks and recurrent neural networks. Deep Learning is currently at the heart of most cutting edge technologies. It is in the core of the recent advances in Artificial Intelligence. Visual i...
Presents a comprehensive A-to-Z reference to the empire that once encompassed large parts of the modern-day Middle East, North Africa, and southeastern Europe.
This book includes the original, peer reviewed research articles from the 2nd International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2020), held in August, 2020 at Goa, India. It covers the latest research trends or developments in areas of data science, artificial intelligence, neural networks, cognitive science and machine learning applications, cyber physical systems and cybernetics.
This book covers a large set of methods in the field of Artificial Intelligence - Deep Learning applied to real-world problems. The fundamentals of the Deep Learning approach and different types of Deep Neural Networks (DNNs) are first summarized in this book, which offers a comprehensive preamble for further problem–oriented chapters. The most interesting and open problems of machine learning in the framework of Deep Learning are discussed in this book and solutions are proposed. This book illustrates how to implement the zero-shot learning with Deep Neural Network Classifiers, which require a large amount of training data. The lack of annotated training data naturally pushes the research...
This book gathers outstanding research papers presented in the International Conference on Computational Intelligence and Emerging Power System (ICCIPS 2021), held on March 9-10, 2021, at Engineering College Ajmer. ICCIPS 2021 is jointly organized by the Department of CSE and Department of EE, Engineering College Ajmer, Rajasthan, India. The topics covered in the book are collective intelligence, soft computing, optimization, cloud computing, machine learning, intelligent software, robotics, data science, data security, big data analytics, natural language processing, renewable energy, signal processing, optimization methods for power system, smart grid, micro-grid, energy management, power system, monitoring system, load management, and distributed generation.
Masallar, anlatıldıkça gerçek olurlar... Gerçeklik nerede başlıyor, masal nerede bitiyor belli değil. Kurguyla hakikatin iç içe geçtiği, şifrelerle dolu bir labirent MASALCI... Paganizm ve ezoterik öğretiler araştırmacısı ve yazarı Erhan Altunay’ın kaleme aldığı eşsiz bir tarihi roman. Dünya sahnesinde yüzlerce yıldır oynanan o büyük oyunun en önemli parçasıdır Türkiye... Özellikle İstanbul. Hatta Ayasofya... Yüzlerce yıl önce yaşamış olan bir Masalcı, bugünün İstanbul’unda Balat semtinde dolaşırken seçtiği bir adama anlattığı masalla yaklaşmakta olan büyük tehlikenin haberini veriyor. Kutsal Emanetler’in peşinde İstanbul sokaklarında şövalyelere karşı başlayan bu amansız mücadelenin sonu ne olacak? Kutsal Emanetler’i Fatih Sultan Mehmet mi sakladı? Şövalyeler Türk topraklarında hâlâ Kutsal Emanetler’i mi arıyorlar? Dünyanın her köşesinde patlayan her bombadan ya da sıkılan her kurşundan şövalyeler mi sorumlu?
Tarihe, yerel tarihe ve şehir tarihine son yıllarda giderek artan bir ilgi duyulmaktadır. İnsanlar kendi aile geçmişlerini, dedelerinin ve atalarının neler yaptığını, nasıl yaşadıklarını bilmek istemektedirler. Bu istek Keşap için de geçerlidir. Keşap’la ilgili geçmişte bazı çalışmaların yapıldığı bilinmektedir. Ancak bu çalışmalar daha çok folklor ağırlıklıdır. Keşap tarihine dair bu eksiklik Belediyemiz tarafından bir kültür hizmeti olarak yayınlanan elinizdeki Doğu Karadeniz’de Bir Kıyı Kasabası Keşap adlı çalışma ile karşılanmış oluyor. Bu kitapla Keşap’ın tarihî gelişimi; Tahrir Defterleri, Şer’iyye Sicilleri, Öşür Defterleri, Nüfus Defterleri gibi birinci el arşiv belgelerinin ışığı altında ortaya konulmuştur.
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