Pattern Theory

Like its widely praised, best-selling predecessor, Pattern Theory: The Stochastic Analysis of Real-World Signals, Second Edition treats the mathematical tools, the models themselves, and the computational algorithms for applying statistics to analyze six representative classes of signals of increasing complexity. The book covers patterns in text, sound, and images.

New to theSecond Edition:

- A new chapter discussing Convolutional Neural Networks (CNN's) including the hierarchical structure of, and learning, with CNN's

-Additional topics, including flexible templates in medical applications, Gaussian models for texture synthesis, exponential models and their use.

La fel ca predecesorul sau mult laudat, cel mai bine vandut, Pattern Theory: The Stochastic Analysis of Real-World Signals, Second Edition trateaza instrumentele matematice, modelele in sine si algoritmii de calcul pentru aplicarea statisticilor pentru a analiza sase clase reprezentative de semnale de complexitate crescanda . Cartea acopera modele in text, sunet si imagini. Nou la editia a doua: - Un nou capitol care discuta despre retelele neuronale convolutionale (CNN), inclusiv structura ierarhica si invatarea, cu subiecte suplimentare CNN, inclusiv sabloane flexibile in aplicatii medicale, Modele gaussiene pentru sinteza texturii, modele exponentiale si utilizarea acestora.