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Optimisation in Signal and Image Processing by Patrick Siarry

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Index

A

A priori, 247-252, 260, 265

Acceleration, 17

Active sets, 112, 120, 123, 132

AIC (Akaike Information Criterion), 3-11, 15, 16, 19-21, 26, 27, 32

Ant colony, 273, 274, 281, 283, 297

API algorithm, 225-241

Autoregressive (AR) models, 2

B

Bayesian network, 161, 166

BIC (Bayesian Information Criterion), 3-20, 26

B-spline, 207, 211

C

Capacity, 111-117, 131, 132,

Chromosome, 305

Clonal selection (CS), 252, 255-258, 265, 266

Cloning, 256, 258

CMOS cameras, 37, 38

Compressible fluid, 11

Consistency, 4, 5

Contour segmentation, 3

Convergence speed, 335

Cost, 113-126,

Cramér-Rao bound, 153, 154,

Criterion, 1-27

Cross-entropy, 138, 166, 167

D

Deformable models, 246, 247, 267

Deformable prototype, 209

Detecting obstacles, 32, 34

Detecting, 246, 264-267

Diaphony, 344, 346

Distance map, 247, 262-265

E

Echo, 198, 203-206, 215

Electrodes, 329-331, 336, 337, 340, 344-354

Electroencephalography (EEG), 301-303, 307-309, 313, 320

Electromyography (EMG), 302-304

Entropy, 2, 3, 28

Estimation EM, 201

Evolutionary algorithms, 252, 266

Evolutionary strategies (ES), 252-255, 261, 262, 264, 265

F

Filter, 153,

Filtering, 153, 155, 167

Fitness, 18, 20, 24-40

function, 24-28, 34, 35, 38-40

Fly algorithm, 22-24, 29

G

Genetic algorithms, 337

Gibbs sampling, 200

Global algorithm, 247

Gradient descent, 247, 260

Ground truth, 249, 260-265

H

HÉVÉA, 330, 339

Hidden Markov models, 159, 162, 166

Hierarchical models, 159, 166

Hilbert space, 115

Histograms, 2, 20, 24, 27, 31

Hough transform, 2, 4-9, 13, 14

I

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