October 2012
Intermediate to advanced
304 pages
8h 22m
English
Content preview from Machine Learning in Image SteganalysisBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Index
2-D adjacency histogram
χ2 attack
χ2 test
± 1 embedding
AC coefficients
AC-10
AC-4
accuracy
adjacency HCF-COM
AI, see artificial intelligence
ALE features
first-order
second-order
ALE-10
amplitude of local extrema
analysis filter bank
analysis of variance
angular correlation
ANOVA, see analysis of variance
area under the curve
artifact
artificial intelligence
asset
asymmetry
AUC, see area under the curve
authentication
image authentication
autocorrelation
autocorrelation matrix
availability
bandwidth
batch steganography
Bayes' law
Bayesian statistics
Bernoulli trial
binary similarity measures
binning
binomial distribution
bit plane
blockiness attack
blockiness features
boosting feature selection
bootstrap method
boundary hyperplanes
broadcast monitoring
calibrated feature
difference
ratio
calibration
JPEG
capacity
of F5
capturing device
Cartesian calibrated feature
Cartesian calibration
Cartesian product
central moment
centre of mass
multi-dimensional
characteristic function
chrominance
cipher text
ciphers
class skew
classification
classification score
classifier
classifier system
cluster analysis, see also clustering
clustering
coin toss
colour palette
conditional probability features
confidence interval
confidentiality
confusion matrix
convolution
Convolution Theorem
co-occurrence features
co-occurrence matrix
of JPEG matrix
correlation coefficient
cover
cover estimate
cover selection
cover-source mismatch
crosscorrelation
cross-validation
cryptography
curse of dimensionality ...
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