tag :: detection, analysis,

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4GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection
Q. Nguyen, K. Lim, D. Divakaran, K. Low, и M. Chan. Proc. IEEE Conf. Communications and Network Security (CNS), стр. 91--99. (июня 2019)
4 лет назад , @annakrause
Anomaly
Detection,
Fingerprinting
GEE,
Gradient-based
Internet,
NetFlow
Records,
UGR
VAE,
analysis,
anomalous
anomaly
attack
autoencoder,
dataset,
deep-learning
detection
detection,
explainable
fingerprinting
gradient
gradient-based
learning
learning,
machine
methods,
models,
network
recording,
solutions,
statistical
technique,
techniques,
traffic
unsupervised
variational
zero-day
AnomalyDetection,FingerprintingGEE,Gradient-basedInternet,NetFlowRecords,UGRVAE,analysis,anomalousanomalyattackautoencoder,dataset,deep-learningdetectiondetection,explainablefingerprintinggradientgradient-basedlearninglearning,machinemethods,models,networkrecording,solutions,statisticaltechnique,techniques,trafficunsupervisedvariationalzero-day
(0)
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1OBSERVATIONAL DISCRETE LINES FOR THE DETECTION OF MOVING VEHICLES IN ROAD TRAFFIC SURVEILLANCE
O. Mamaraufov. International Journal of Computer Science, Engineering and Information Technology (IJCSEIT), 5 (6): 1 - 8 (декабря 2015)
5 лет назад , @ijcseit
Motion
Observation
Tracing,
Video
Visual
analysis,
detection,
discrete
lines
monitoring,
surveillance
system,
MotionObservationTracing,VideoVisualanalysis,detection,discretelinesmonitoring,surveillancesystem,
(0)
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2THE METHOD OF DETECTING ONLINE PASSWORD ATTACKS BASED ON HIGH-LEVEL PROTOCOL ANALYSIS AND CLUSTERING TECHNIQUES
N. Son, и H. Dung. International Journal of Computer Networks & Communications (IJCNC), 11 (6): 77-89 (ноября 2019)
5 лет назад , @laimbee
DBSCAN
Online
algorithm
analysis,
attack
clustering
detection,
learning,
password
protocol
unsupervised
DBSCANOnlinealgorithmanalysis,attackclusteringdetection,learning,passwordprotocolunsupervised
(0)
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1Integrated Feature Extraction Approach Towards Detection of Polymorphic Malware In Executable Files
E. Masabo, K. Kaawaase, J. Sansa-Otim, и D. Hanyurwimfura. International Journal of Computer Science and Security (IJCSS), 11 (2): 25-33 (апреля 2017)
6 лет назад , @cscjournals
Analysis,
Detection,
Dynamic
Learning
Machine
Malware
Malware,
Polymorphic
Static
Analysis,Detection,DynamicLearningMachineMalwareMalware,PolymorphicStatic
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6Community detection algorithms: a comparative analysis
A. Lancichinetti, и S. Fortunato. arXiv e-print, 0908.1062. (августа 2009)
8 лет назад , @yourwelcome
analysis,
community
detection,
graphs,
network
random
review
analysis,communitydetection,graphs,networkrandomreview
(0)
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1Detecting network communities: a new systematic and efficient algorithm
L. Donetti, и M. Muñoz. Journal of Statistical Mechanics: Theory and Experiment, 2004 (10): P10012 (октября 2004)
8 лет назад , @yourwelcome
analysis,
clustering,
community
detection,
eigenvalue,
network
spectral
analysis,clustering,communitydetection,eigenvalue,networkspectral
(0)
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1Spectral tripartitioning of networks
T. Richardson, P. Mucha, и M. Porter. Physical Review E, 80 (3): 036111 (сентября 2009)
8 лет назад , @yourwelcome
analysis,
community
detection,
eigenvalue,
modularity,
network
spectral
analysis,communitydetection,eigenvalue,modularity,networkspectral
(0)
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2Using Games with a Purpose and Bootstrapping to Create Domain-Specific Sentiment Lexicons
A. Weichselbraun, S. Gindl, и A. Scharl. Proceedings of the 19th ACM Conference on Information and Knowledge Management (CIKM 2011), стр. 1053--1060. Glasgow, Scotland, ACM, (октября 2011)
13 лет назад , @albert.weichselbraun
Analysis,
Bootstrapping,
Crowd-Sourcing
Detection,
Language
Lexicon,
Resources,
Sentiment
Analysis,Bootstrapping,Crowd-SourcingDetection,LanguageLexicon,Resources,Sentiment
(0)
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3Leveraging the Wisdom of the Crowds for the Acquisition of Multilingual Language Resources
A. Scharl, M. Sabou, S. Gindl, W. Rafelsberger, и A. Weichselbraun. 8th International Conference on Language Resources and Evaluation (LREC-2012), Istambul, Tureky, (2012)Forthcoming (accepted 1 February 2012).
13 лет назад , @albert.weichselbraun
acquisition,
analysis,
crowdsourcing,
detection,
language
orientation
resource
semantic
sentiment
acquisition,analysis,crowdsourcing,detection,languageorientationresourcesemanticsentiment
(0)
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2Learning methods for generic object recognition with invariance to pose and lighting
Y. LeCun, F. Huang, и L. Bottou. Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on, 2, стр. II-97--104 Vol.2. (2004)
15 лет назад , @mozaher
analysis,
component
computer
convolutional
databases,
detection,
error
extraction,
feature
generic
grayscale
image
images,
invariance,
large
learning
lighting
low-resolution
machines,
methods,
nearest
neighbor
networks,
object
pose
principal
processing,
rates
recognition,
segmentation,
stereo
support
test
vector
very
vision,
visual
analysis,componentcomputerconvolutionaldatabases,detection,errorextraction,featuregenericgrayscaleimageimages,invariance,largelearninglightinglow-resolutionmachines,methods,nearestneighbornetworks,objectposeprincipalprocessing,ratesrecognition,segmentation,stereosupporttestvectorveryvision,visual
(0)
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2Indoor vs outdoor classification of consumer photographs using low-level and semantic features
J. Luo, и A. Savakis. Image Processing, 2001. Proceedings. 2001 International Conference on, (октября 2001)
15 лет назад , @mozaher
analysis,
belief
categorization,
classification,
color,
colour
consumer
content,
content-based
data,
detection
detection,
features,
grass
ground
image
indoor
low-level
network,
networks,
outdoor
photograph
photography,
retrieval,
scene
semantic
sky
texture,
textureBayesian
truth
analysis,beliefcategorization,classification,color,colourconsumercontent,content-baseddata,detectiondetection,features,grassgroundimageindoorlow-levelnetwork,networks,outdoorphotographphotography,retrieval,scenesemanticskytexture,textureBayesiantruth
(0)
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2Visually steerable sound beam forming method possible to track target person by real-time visual face tracking and speaker array
K. Shinoda, H. Mizoguchi, S. Kagami, и K. Nagashima. Systems, Man and Cybernetics, 2003. IEEE International Conference on, (октября 2003)
15 лет назад , @gregoryy
analysis,
array,
beam
detection,
direction,
face
forming
image
motion
processing,
real-time
recognition
recognition,
sound
sounds,
speaker
steerable
tracking,
transmitting
visual
visually
analysis,array,beamdetection,direction,faceformingimagemotionprocessing,real-timerecognitionrecognition,soundsounds,speakersteerabletracking,transmittingvisualvisually
(0)
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2Texture Detection by Genetic Programming
M. Koeppen, и X. Liu. Proceedings of the 2001 Congress on Evolutionary Computation CEC2001, стр. 867--872. COEX, World Trade Center, 159 Samseong-dong, Gangnam-gu, Seoul, Korea, IEEE Press, (27-30 May 2001)
17 лет назад , @brazovayeye
2D-Lookup
algorithms,
analysis,
detection,
evolutionary
genetic
programming,
texture
2D-Lookupalgorithms,analysis,detection,evolutionarygeneticprogramming,texture
(0)
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4GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection

1OBSERVATIONAL DISCRETE LINES FOR THE DETECTION OF MOVING VEHICLES IN ROAD TRAFFIC SURVEILLANCE

2THE METHOD OF DETECTING ONLINE PASSWORD ATTACKS BASED ON HIGH-LEVEL PROTOCOL ANALYSIS AND CLUSTERING TECHNIQUES

1Integrated Feature Extraction Approach Towards Detection of Polymorphic Malware In Executable Files

6Community detection algorithms: a comparative analysis

1Detecting network communities: a new systematic and efficient algorithm

1Spectral tripartitioning of networks

2Using Games with a Purpose and Bootstrapping to Create Domain-Specific Sentiment Lexicons

3Leveraging the Wisdom of the Crowds for the Acquisition of Multilingual Language Resources

2Learning methods for generic object recognition with invariance to pose and lighting

2Indoor vs outdoor classification of consumer photographs using low-level and semantic features

2Visually steerable sound beam forming method possible to track target person by real-time visual face tracking and speaker array

2Texture Detection by Genetic Programming

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