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The book shows that the analytic combinatorics (AC) method encodes the combinatorial problems of multiple object tracking—without information loss—into the derivatives of a generating function (GF). The book lays out an easy-to-follow path from theory to practice and includes salient AC application examples. Since GFs are not widely utilized amongst the tracking community, the book takes the reader from the basics of the subject to applications of theory starting from the simplest problem of single object tracking, and advancing chapter by chapter to more challenging multi-object tracking problems. Many established tracking filters (e.g., Bayes-Markov, PDA, JPDA, IPDA, JIPDA, CPHD, PHD, multi-Bernoulli, MBM, LMBM, and MHT) are derived in this manner with simplicity, economy, and considerable clarity. The AC method gives significant and fresh insights into the modeling assumptions of these filters and, thereby, also shows the potential utility of various approximation methods that are well established techniques in applied mathematics and physics, but are new to tracking. These unexplored possibilities are reviewed in the final chapter of the book.
This book provides a rigorous mathematical treatment of the non-linear stochastic filtering problem using modern methods. Particular emphasis is placed on the theoretical analysis of numerical methods for the solution of the filtering problem via particle methods. The book should provide sufficient background to enable study of the recent literature. While no prior knowledge of stochastic filtering is required, readers are assumed to be familiar with measure theory, probability theory and the basics of stochastic processes. Most of the technical results that are required are stated and proved in the appendices. Exercises and solutions are included.
This book is the largest referral for Turkish companies.
This book is the largest referral for Turkish companies.
Incorporating chaos theory into psychology and the life sciences, this text includes empirical studies of neural encoding, memory, eye movements, warfare, business cycles and selection of time series analysis algorithms. There are theoretical chapters on emergence and social dynamics, and clinical contributions dealing with: the measurement of quality of life for psychiatric patients; psychosis; the organization of self; and the role of love in family dynamics. Finally ideas from non-linear dynamics are applied to understanding the creative process.
M.Ö 200 yıllarında Teoman tarafından kurulan Büyük Hun İmparatorluğu, Teoman’dan sonra yerine geçen Mete Han döneminde, devlet en parlak dönemlerini yaşamıştır. Çin topraklarını kendi topraklarına katmamasının en büyük nedeni ise Çin’in kalabalık nüfusunun altında asimile olmak istemedikleri içindir. Onluk sistemi buldu ve hayata geçirdi. Şu an günümüzde bile Türk ordusu, Mete Han’ın bulduğu onluk sistemi kullanıyor. Eşsiz bir zekâya sahip olan Mete Han ıslıklı oku icat etti. Islıklı okun Türk ordusuna faydası çok büyüktü. Mete Han’ın aşırı disiplinli ordusu bu oklarla; düşmanla savaştığında, binlerce oktan çıkan ıslık s...
Cehalete ve zulme karşı onurlu bir direniş... Keman çalıp berberlik yaparak hayatını kazanan Kerimoğlu Ali’nin, uğradığı bir iftira yüzünden dağa çıkması, ağalık sistemi altında ezilen köylüyü hak aramak yolunda harekete geçirir. Düzenden yana şikâyeti olanlar birer birer katılırlar Kerimoğlu’na. Ezilenin yanında duran Kerimoğlu Ali, bir zaman sonra adaletin temsilcisine dönüşür. Garibanı ezenin düşmanıdır artık o... Namı günden güne yayılan bir efedir. Mücadelesi sırasında üst üste yaşadığı acı kayıplar, Kerimoğlu Ali’yi derin bir içsel sorgulamaya da sürükler. Birkaç kez hapse bile girip çıktığı halde içindeki mahke...
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