نتایج جستجو برای: genetic algorithm2 simplified quadratic discriminant function

تعداد نتایج: 1833862  

2015
Jun Li Antonio Plaza

EMPs Extended morphological profiles EMPs Extended morphological profiles LDA Linear discriminant analysis LogDA Logarithmic discriminant analysis MLR Multinomial logistic regression MLRsubMRF Subspace-based multinomial logistic regression followed by Markov random fields MPs Morphological profiles MRFs Markov random fields PCA Principal component analysis QDA Quadratic discriminant analysis RH...

2002
NIKITA A. KARPENKO N. KARPENKO

Our main goal is to give proofs of all results announced by Oleg Izhboldin in [13]. In particular, we establish Izhboldin’s criterion for stable equivalence of 9-dimensional forms. Several other related results, some of them due to the author, are also included. All the fields we work with are those of characteristic different from 2. In these notes we consider the following problem: for a give...

1999
Scott Contini Ronald L. Rivest Matthew J. B. Robshaw Yiqun Lisa Yin

RC6 has been submitted as a candidate for the Advanced Encryption Standard (AES). Two important features of RC6 that were absent from its predecessor RC5 are a quadratic function and a fixed rotation. By examining simplified variants that omit these features we clarify their essential contribution to the overall security of RC6.

2000
Éliane Jaulmes Antoine Joux

We present a chosen-ciphertext attack against both NICE cryptosystems. These two cryptosystems are based on computations in the class group of non-maximal imaginary orders. More precisely, the systems make use of the canonical surjection between the class group of the quadratic order of discriminant p −pq2 and the class group of the quadratic order of discriminant √−p. In this paper, we examine...

1995
Douglas L. Jones Akbar M. Sayeed

Time-frequency based methods, particularly quadratic (Cohen's-class) representations, are often considered for detection in applications ranging from sonar to machine monitoring. We propose a method of obtaining near-optimal quadratic detectors directly from training data using Fisher's optimal linear discriminant to design a quadratic detector. This detector is optimal in terms of Fisher's sca...

Journal: :Statistics, Optimization & Information Computing 2015

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