Marques de Sa J.P. — Pattern recognition: concepts, methods, and applications :: Электронная библиотека попечительского совета мехмата МГУ

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Marques de Sa J.P. — Pattern recognition: concepts, methods, and applications

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Название: Pattern recognition: concepts, methods, and applications

Автор: Marques de Sa J.P.

Аннотация:

The book provides a comprehensive view of Pattern Recognition concepts and methods, illustrated with real-life applications in several areas. It is appropriate as a textbook of Pattern Recognition courses and also for professionals and researchers who need to apply Pattern Recognition techniques. These are explained in a unified an innovative way, with multiple examples enhacing the clarification of concepts and the application of methods. Recent methods and results in Pattern Recognition are also presented in a clear way. A CD-ROM offered with the book includes datasets and software tools, making it easier for the reader to follow the taught matters in a hands-on fashion right from the start.

Язык:

Рубрика: Computer science/Обработка изображений/

Статус предметного указателя: Готов указатель с номерами страниц

ed2k: ed2k stats

Год издания: 2001

Количество страниц: 318

Добавлена в каталог: 19.11.2005

Операции: Положить на полку | Скопировать ссылку для форума | Скопировать ID

Предметный указатель

Activation function      155
Acyclic graph      249
ADALINE      159
Adaptive filtering      152
Adjusted prevalences      95
Agreement table      75
Ambiguous grammar      253
Approximation error      148
Assignment problem      276
Asynchronous updating      227
Attribute difference      268
Attribute vector      248
Attributed grammar      260
Attributed graph      282
Attributed string      248
Average risk      95 96
Average squared error      184
Average vote      233
Back propagation      172
Backward search      123
batch      175
batch mode      152
Bayes classifier      91
Bayes rule      95 263
Bhattacharyya distance      100
Bias      22 150
Binary tree      27
Bootstrap method      128
Box plot      42
Branch and bound      122
CAM      227
Canonical hyperplane      216
CART method      137
Case shuffling      178
Cauchy distribution      100
Centroid      70
Chain code      245
Class symbol      251
Classes      11
Classification, risk      93
Classification, supervised      53
Classification, unsupervised      53
CLIQUE      281
Clustering      14
Co-operative network      235
Cohen's k      75
Compatibility factor      271
Compatibility matrix      278
Concatenation      247
Concept driven      11
Conjugate direction      202
Context-free grammar      256
Correlation      35
Correlation classifier      84
Cost function      217
Covariance      35
Cross-validation      74
Crossover      209
Curse of dimensionality      46 109
Data driven      13
Data, mining      138
Data, warehouse      138
decision functions      22
Decision regions      21
Decision rule      133
Decision table      135
Decision tree      130
Dendrogram      59
Derivation      252
Design set      12
Dichotomies      192
Digraph      248
Dimensionality ratio      46 178
Discrete relaxation      274 277 282
Dynamic search      123
Edge set      248
Edit costs      266
Edit operations      266 281
Edition method      115
Eigenvalues      38
Eigenvectors      38 65 121
Elitism      209
Empirical error      200
Empirical risk      97
Ensemble network      233
entropy      137
Epoch      152 175
ERM      97
Error bias      127 189
Error energy      148
Error mean      184
Error surface      150
Error test set      106
Error training set      80 106
Error variance      106 127 189
Euclidian classifier      84
Exhaustive search      122
External variables      181
Factor analysis      65
Factor loadings      65
Fat shattering      198
Feature extraction      16
Feature selection      121
Feature space      26
Feature standardization      56
Feature vector      13
features      12
FHR      260
Finite state machine      257
Fisher discriminant      88 186
Fitness factor      208
Forecasting      181
Forvvard search      123
Gaussian distribution      98
Genetic algorithm      123 208
Gradient descent      151
Graph      248
Graph, edge      248
Graph, node      248
Growth function      194
Hamming distance      228
Hard limiter      158
Hebb rule      170 228
Hessian matrix      186
Hidden neuron      167
Hierarchical classifier      130
Hierarchical network      232
histogram      42
Holdout method      128
Homomorphism      279
Hopfield netvvork      169 226 275
Hough transform      247
Hyperellisoid      85
Hyperplane      22 80
Hypersphere      30
Icicle plot      58
ID3 algorithm      137
In-degree      248
Interpolating kernel      111
Interpolation      213
Interquartile      42
IPS      175
ISODATA      70
Isomorphism      280
Jogging weights      178
K - NN      114
Kaiser criterion      40
Kernel function      213 222
Kohonen network      169 223
Kolmogorov - Smimov test      43

Kruskal - Wallis test      44
Lagrange multipliers      217
Learning Curve      166
Learning rate      151
Learning size (bounds)      196
Least mean square      149
Leave-one-out method      128
Levenberg - Marquardt      205
Levenshtein distance      266
Likelihood      91
Lillefors correction      43
Line search      202
Linear discriminant      22 83 147
Linear network      148
Linear transformation      31
Linkage, average between groups      62
Linkage, average within groups      62
Linkage, complete      58 62
Linkage, single      60
Linkage, Ward      63
LMS      149
Local minimum      157 177
Logistic distribution      100
Mahalanobis classifier      85
Mahalanobis distance      36 99
Majority vote      233
Margin of separation      215
Match graph      280
Matching score      269 276
Max vote      233
Maximum likelihood      98
Means clustering      70
Merit criterion      121
Merit index      71
Metric      29
MLP      167
Modular network      232
Momentum factor      175
Multidimensional scaling      67
Mutation      209
Nearest neighbour      114
Network complexity      169
Network pruning      191
Network weight      149
Node impurity      136
Node set      248
Node, splitting      138
Noise adding      178
Norm, Chebychev      29
Norm, city-block      29
Norm, Euclidian      29
Norm, Mahalanobis      32
Norm, Minkowsky      30
Norm, power      29
Null string      247
Optimal hyperplane      216
Optimum classifier      99
Orthonormal matrix      38
Orthonormal transformation      37
Out-degree      248
Outlier      42
Output neuron      155 200
Parameter estimation      97
Parsing tree      252
Partition method      128
Parzen window      110
Pattern acquisition      16
Pattern classification      4
Pattern description      9
Pattern primitive      243
Pattern recognition      1
Pattern regression      7
Patterns      12
PDL      253
Perceptron      159
Perceptron rule      160
Piecewise linear      244
Pooled covariance      103
post-processing      17 176
pre-processing      17 176
Predictive modelling      235
Prevalence      90
Prevalence threshold      91
primitive      243
Principal component      39 65
Probabilistic neural network      113 212
Probabilistic relaxation      271
Production rule      251
Prototype stale      230
Pseudo dimension      198
Pseudo inverse      149 207
Pseudo shattering      197
Quadratic classifier      24 127
Quadratic decision function      23
Quadratic form      32
Radial basis functions      168 212 222
Radial layer      213
Ranking index      185
RBF      168 213
Recurrent network      169
Regular grammar      256
Regularization      191
Reject region      103
Reject threshold      104
Replication analysis      74
Resubstitution method      127
Retrieval phase      228
RMS error      184
ROC area      120
ROC curve      118
ROC threshold      119
Rule probability      261
Scaling      34
Scatter plot      42
Schema theorem      209
Scree test      41
Semantic rule      260
Sensibility      116
Sensitivity analysis      191
Separability, absolute      26
Separability, pairwise      28
Sequential search      123
Shape primitive      246
Shapiro - Wilk test      43
Shattered sets      194
Shepard diagram      68
Sigmoidal function      158
Slack variables      219
Specificity      117
Split criterion      136
SRM      201
Standardization      56
Starting symbol      251
State, diagram      257
State, spurious      228
State, stable      227
State, transition table      258
Stochastic grammar      261
storage capacity      230
Storage phase      228
Stress      67
String matching      265
Structural risk      201
Successor method      264
Supervised PR      14
Support vector machine      168
Support vectors      216
SVM      168 215
Synchronous updating      227
target value      148

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