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Duda R.O., Hart P.E., Stork D.G. — Pattern Classification
Duda R.O., Hart P.E., Stork D.G. — Pattern Classification

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Название: Pattern Classification

Авторы: Duda R.O., Hart P.E., Stork D.G.

Аннотация:

The first edition, published in 1973, has become a classic reference in the field. Now with the second edition, readers will find information on key new topics such as neural networks and statistical pattern recognition, the theory of machine learning, and the theory of invariances. Also included are worked examples, comparisons between different methods, extensive graphics, expanded exercises and computer project topics.


Язык: en

Рубрика: Computer science/Обработка изображений/

Статус предметного указателя: Готов указатель с номерами страниц

ed2k: ed2k stats

Издание: second edition

Год издания: 1999

Количество страниц: 735

Добавлена в каталог: 16.11.2005

Операции: Положить на полку | Скопировать ссылку для форума | Скопировать ID
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Предметный указатель
$\dag$      see Matrix pseudoinverse
$\rho$      see Correlation coefficient
$\Varepsilon[\cdot]$      see Expectation
Adjoint      see Matrix adjoint
Asymptotic lower bound      see Lower bound asymptotic
Asymptotic notation      35
Asymptotic tight bound      see Tight bound asymptotic
Asymptotic upper bound      see Upper bound asymptotic
Average      see Expected value
Bayes' rule      17 21
Bayes' rule, vector      19
Bienayme - Chebychev      see Chebyshev's inequality
Big oh      35
Big Omega      35
Big theta      35
Cauchy - Schwarz inequality      7 16
Central limit theorem      23
Chebyshev's inequality      13
Chi-square      31
Chi-square, table      32
Chi-squared statistic      31
Cofactor matrix      see Matrix cofactor
Complexity, space      36
Complexity, time      36
Computational complexity      34 - 36
Conditional probability      see Probability conditional
Confidence level      31
Convolution      22
Correlation, coefficient      16 28 30
Covariance      15 20
Covariance matrix      see Matrix covariance
Covariance, normalized      16
Cross entropy      see Distance Kullback
Cross moment      see Covariance
Density, Gaussian, bivariate      28
Density, Gaussian, conditional mean      30
Density, Gaussian, marginal      29
Density, Gaussian, mean      23
Density, Gaussian, univariate      23
Density, Gaussian, variance      23
Density, joint, singular      29
Distance, Euclidean      7
Distance, Kullback - Leibler      33
Distance, Mahalanobis      23 27
Distribution, Gaussian      23
Distribution, Gaussian, area      13
Distribution, Gaussian, covariance      28
Distribution, Gaussian, eigenvector      27
Distribution, Gaussian, moment      26
Distribution, Gaussian, multivariate      26
Distribution, Gaussian, principal axes      27
Distribution, Gaussian, univariate      23
Distribution, joint      18
Distribution, marginal      18
Distribution, maximum entropy      32
Distribution, prior      18
Dot product      see Inner product
Dyadic product      see Matrix product
Eigenvalue      11
Eigenvector      11
entropy      32
Entropy, continuous distribution      32
Entropy, discrete      33
Entropy, relative      33
Entropy, surprise      32
Error function      25
Euclidean norm      see Distance Euclidean
Events, mutually exclusive      17
evidence      18
Expectation, continuous      20
Expectation, entropy      32
Expectation, linearity      13 15
Expectation, vector      19
Expected value      13
Expected value, two variables      15
Factorial      25
Function, Dirac delta      33
Function, Gamma      25
Function, Kronecker      6
Function, vector valued      21
Gamma function      see Function gamma
Gaussian derivative      24 - 25
Gaussian, table      24
Gaussian, unidimensional      23
Gradient      8
Hessian matrix      see Matrix Hessian
Hypothesis testing      30
Hypothesis, null      see Null hypothesis
Identity matrix      see matrix identity
Independence, statistical      15
Independent variables, sum      22
Information theory      32 - 34
Information, bit      see Bit
Information, divergence      see Distance Kullback
Information, for discrimination      see Distance Kullback
Information, mutual      34
Inner product      7
Jacobian      8
Jacobian matrix      see Matrix Jacobian
Kronecker delta      see Function Kronecker
Kullback-Leibler      see distance Kullback
Lagrange optimization      see Optimization Lagrange
Lagrange undetermined multiplier      12
Law of total probability      17
Level curves      28
Likelihood      18
Linear independence      7
Linear independence, matrix columns      11
Little omega      35
Lower bound, asymptotic      35
Mahalanobis distance      see Distance Mahalanobis
Marginal      14
Marginal, distribution      14
Mass function, probability      see Probability mass
Matrix, addition      6
Matrix, adjoint      11
Matrix, anti-symmetric      6
Matrix, covariance      9
Matrix, covariance, determinant      27 28
Matrix, covariance, diagonal      20 21 26
Matrix, covariance, eigenvalues      20
Matrix, covariance, inverse      27 28
Matrix, derivative      8 - 9
Matrix, determinant      9 - 10
Matrix, determinant, hyper volume      9
Matrix, Hessian      9
Matrix, identity (I)      6
Matrix, inverse, derivative      8
Matrix, inversion      10 - 12
Matrix, Jacobian      8
Matrix, multiplication      6
Matrix, non-negative      6
Matrix, positive semi-definite      20
Matrix, product      see Outer product
Matrix, pseudoinverse      11
Matrix, skew-symmetric      6
Matrix, square      6
Matrix, symmetric      6 9
Matrix, trace      10
Maximum entropy      32
Mean      see expected Value
Mean vector      see Vector mean
Mean, calculation, computational complexity      34
Mean, two variables      15
Moment, cross      see Covariance
Moment, second      13
Multiple integral      21
Mutual information      see Information mutual
normal      see Distribution Gaussian
Null hypothesis      30
Optimization, Lagrange      12
Outer product      7 19
Principal axes      see Axes principal
Prior      18
Prior distribution      see Distribution prior
Probability theory      12 - 24
Probability, conditional      16 - 17
Probability, density      20
Probability, density, joint      21
Probability, joint      14 17
Probability, mass      16 20
Probability, mass function      12
Probability, mass, joint      14
Probability, total law      see Bayes' rule
Product space      14
Random variable, discrete      12
Random variable, vector      18 - 20
Scalar product      see inner product
Second moment      see moment second
Significance level      see Confidence level
Significance, statistical      30
Space-time tradeoff      36
Standard deviation      13 23
Statistic, chi-squared      see Chi-squared statistic
Statistical dependence      16
Statistical independence      16 20; statistical
Statistical independence, expectation      16
Statistical independence, Gaussian      29
Statistical independence, vector      18
statistical significance      see Significance statistical
Surprise      32
Taylor series      9
Tight bound, asymptotic $(\Theta(\cdot))$      35
Trace      see Matrix trace
TRANSPOSE      6
Unpredictability      see entropy
Upper bound, asymptotic      35
Variable, random, continuous      20 - 21
Variable, random, discrete      14
Variable, random, standardized      27
Variable, standardized      23
Variables, uncorrelated      16
Variance      13
Variance, nonlinearity      14
Variance, two variables      15
Vector      6
Vector analog      20
Vector product      see Outer product
Vector space, span      7
Vector, addition      6
Vector, colinearity      7
Vector, linearly independent      7
Vector, mean      19
Vector, orthogonal      7
Vector, space      7
z score      23
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