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Hidden Markov Models
As more applications are found, interest in Hidden Markov Models continues to grow. Following comments and feedback from colleagues, students and other working with Hidden Markov Models the corrected 3rd printing of this volume contains clarifications, improvements and some new material, including results on smoothing for linear Gaussian dynamics. In Chapter 2 the derivation of the basic filters related to the Markov chain are each presented explicitly, rather than as special cases of one general filter. Furthermore, equations for smoothed estimates are given. The dynamics for the Kalman filter are derived as special cases of the authors’ general results and new expressions for a Kalman smoother are given. The Chapters on the control of Hidden Markov Chains are expanded and clarified. The revised Chapter 4 includes state estimation for discrete time Markov processes and Chapter 12 has a new section on robust control.
Lossless Information Hiding in Images
Lossless Information Hiding in Images introduces many state-of-the-art lossless hiding schemes, most of which come from the authors' publications in the past five years. After reading this book, readers will be able to immediately grasp the status, the typical algorithms, and the trend of the field of lossless information hiding. Lossless information hiding is a technique that enables images to be authenticated and then restored to their original forms by removing the watermark and replacing overridden images. This book focuses on the lossless information hiding in our most popular media, images, classifying them in three categories, i.e., spatial domain based, transform domain based, and co...
Neural Information Processing
The four volume set LNCS 9947, LNCS 9948, LNCS 9949, and LNCS 9950 constitues the proceedings of the 23rd International Conference on Neural Information Processing, ICONIP 2016, held in Kyoto, Japan, in October 2016. The 296 full papers presented were carefully reviewed and selected from 431 submissions. The 4 volumes are organized in topical sections on deep and reinforcement learning; big data analysis; neural data analysis; robotics and control; bio-inspired/energy efficient information processing; whole brain architecture; neurodynamics; bioinformatics; biomedical engineering; data mining and cybersecurity workshop; machine learning; neuromorphic hardware; sensory perception; pattern recognition; social networks; brain-machine interface; computer vision; time series analysis; data-driven approach for extracting latent features; topological and graph based clustering methods; computational intelligence; data mining; deep neural networks; computational and cognitive neurosciences; theory and algorithms.
Verification, Induction, Termination Analysis
Annotation This Festschrift volume, published in honor of Christoph Walther, contains contributions written by some of his colleagues, former students, and friends. In celebration of the 60th birthdays of Alejandro P. Buchmann, Sorin A. Huss and Christoph Walther, a colloquium was held on November 19th, 2010 in Darmstadt, Germany. The articles collected herein cover some of the main topics of Christoph Walther's research interests, such as formal modeling, theorem proving, induction, and termination analysis. Together they give a good overall perspective on the formal verification of the correctness of software systems.
Annals of the Astronomical Observatory of Harvard College
Includes separate vol.: Contents of Annals of Harvard College Observatory, v. 1-73.
Advances in Intelligent Information Hiding and Multimedia Signal Processing
This volume of Smart Innovation, Systems and Technologies contains accepted papers presented in IIH-MSP-2016, the 12th International Conference on Intelligent Information Hiding and Multimedia Signal Processing. The conference this year was technically co-sponsored by Tainan Chapter of IEEE Signal Processing Society, Fujian University of Technology, Chaoyang University of Technology, Taiwan Association for Web Intelligence Consortium, Fujian Provincial Key Laboratory of Big Data Mining and Applications (Fujian University of Technology), and Harbin Institute of Technology Shenzhen Graduate School. IIH-MSP 2016 is held in 21-23, November, 2016 in Kaohsiung, Taiwan. The conference is an international forum for the researchers and professionals in all areas of information hiding and multimedia signal processing.
Hidden Champions in CEE and Turkey
This book presents hidden champions in Central and Eastern Europe (CEE) and Turkey that have been studied as a joint project between CEEMAN and IEDC-Bled School of Management, Slovenia. This is an outcome of extensive research undertaken by over 30 researchers and covers 15 countries from Russia to Albania; covering many contexts, political systems, cultures and infrastructures. The reader is provided with a detailed introduction to the concept of hidden champions and describes the cases studied in this project. This book is an invaluable resource providing a culmination of interdisciplinary, cross-study chapters ranging from leadership to performance drivers; from organization to culture and governance; from innovativeness to sustainability and further to the financial aspects of hidden champions business models. These meta level chapters are followed by 15 country-specific chapters which provide an overview of each country’s history, economic indicators and vignettes of the cases involved in this study.
