Pattern Theory
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Pattern Theory: The Stochastic Analysis of Real-World Signals
By David Mumford, Agnès Desolneux[104] John Hertz, Anders Krogh, and Richard Palmer. Introduction to the Theory of Neural Computation. Reading, MA: Addison-Wesley, 1991. [105] Takeyuki Hida, Hui-Hsiung Kuo, J ̈urgen Potthoff, and Ludwig Streit. White Noise.
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Pattern Theory: From Representation to Inference
By Michael Miller, Ulf Grenander, Michael I. MillerNeyman–Pearson and the Optimality of the Likelihood Ratio Test Almost without exception all hypothesis testing studied in this book will be based on the likelihood ratio because of its optimality associated with the Neyman–Pearson Lemma ...
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Pattern Theory: From representation to inference
By Ulf Grenander, Michael I. MillerExample13.26(Likelihood Ratio for Tank/Truck Discrimination) Consider a TANK versus TRUCK recognition through the video imager. Shown in the top row panels 1,2 of Figure 13.23 are sample VIDEO images of the tank at two noise levels ...
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Pattern Theory: Introduction and Perspectives on the Tracks of Christopher Alexander
By Helmut LeitnerThis book “Pattern Theory” summarizes the work of an important contemporary thinker, the architect and systems theorist Christopher Alexander, an emeritus professor at the University of Berkeley, California.
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Pattern Theory: From Representation to Inference
By Ulf Grenander, Michael I. MillerAimed at graduate students the text includes numerous exercises & an extensive bibliography.
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Pattern Theory: The Stochastic Analysis of Real-World Signals
By David Mumford, Agnès DesolneuxThis book treats the mathematical tools, the models themselves, and the computational algorithms for applying statistics to analyze six representative classes of signals of increasing complexity.