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2Generating fuzzy semantic metadata describing spatial relations from images using the R-histogram
Y. Wang, F. Makedon, J. Ford, L. Shen, and D. Goldin. Digital Libraries, 2004. Proceedings of the 2004 Joint ACM/IEEE Conference on, page 202-211. (June 2004)
15 years ago by @mozaher
show all tags
(artificial
R-histogram,
Web,
analysis,
classification,
classifier-training
data,
databases
digital
fuzzy
image
intelligence),
k-NN
learning
libraries,
library,
meta
metadata,
nets,
neural
pattern
relations
retrieval,
semantic
spatial
stage,
statistical
visual
(artificialR-histogram,Web,analysis,classification,classifier-trainingdata,databasesdigitalfuzzyimageintelligence),k-NNlearninglibraries,library,metametadata,nets,neuralpatternrelationsretrieval,semanticspatialstage,statisticalvisual
(0)
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1Neural-network-based segmentation of multi-modal medical images: a comparative and prospective study
M. Ozkan, B. Dawant, and R. Maciunas. Medical Imaging, IEEE Transactions on, 12 (3): 534--544 (1993)
15 years ago by @mozaher
show all tags
NMR,
X-ray
adaptive
artificial
biomedical
brain,
classical
classification,
classifier,
computer
computerised
diagnostic
generalization
human
image
images
images,
imaging,
intensity
interslice
learning
likelihood
magnetic
maximum
medical
multimodal
nets,
networks,
neural
parameters
parameters,
processing,
properties,
resonance
scheme,
segmentation,
tomography,
topological
variations,
NMR,X-rayadaptiveartificialbiomedicalbrain,classicalclassification,classifier,computercomputeriseddiagnosticgeneralizationhumanimageimagesimages,imaging,intensityinterslicelearninglikelihoodmagneticmaximummedicalmultimodalnets,networks,neuralparametersparameters,processing,properties,resonancescheme,segmentation,tomography,topologicalvariations,
(0)
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2Pruning the vocabulary for better context recognition
R. Madsen, S. Sigurdsson, L. Hansen, and J. Larsen. Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on, (23-26 Aug. 2004)
15 years ago by @mozaher
show all tags
(artificial
Web,
analysis
analysis,
bag-of-words
based
categorization,
character
classification,
classifier,
component
context
generalisation
ill-posed
independent
indexing
intelligence),
language
maps,
nets,
network
neural
principal
probabilistic
pruning
recognition,
representation,
representations,
semantic
sensitivity
text
transformations,
vocabulary
(artificialWeb,analysisanalysis,bag-of-wordsbasedcategorization,characterclassification,classifier,componentcontextgeneralisationill-posedindependentindexingintelligence),languagemaps,nets,networkneuralprincipalprobabilisticpruningrecognition,representation,representations,semanticsensitivitytexttransformations,vocabulary
(0)
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2Hybrid object recognition in image sequences
F. Kummert, G. Fink, G. Sagerer, and E. Braun. Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on, 2, page 1165--1170 vol.2. (1998)
15 years ago by @mozaher
show all tags
Markov
formalisms,
hidden
image
models,
nets,
network
networks,
neural
object
probabilistic
probability,
recognition,
semantic
sequences,
Markovformalisms,hiddenimagemodels,nets,networknetworks,neuralobjectprobabilisticprobability,recognition,semanticsequences,
(0)
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1On neurobiological, neuro-fuzzy, machine learning, and statistical pattern recognition techniques
A. Joshi, N. Ramakrishman, E. Houstis, and J. Rice. Neural Networks, IEEE Transactions on, 8 (1): 18--31 (1997)
15 years ago by @mozaher
show all tags
(artificial
adaptation,
algorithm,
analysis,
classes,
classification,
clustering,
fuzzy
human
intelligence),
learning
learning,
machine
method,
min-max
minimax
multiresolution
mutually
nets,
neural
neuro-fuzzy
neurobiological
nonexclusive
one-pass
online
pattern
recognition
recognition,
set
statistical
techniques,
theory,
(artificialadaptation,algorithm,analysis,classes,classification,clustering,fuzzyhumanintelligence),learninglearning,machinemethod,min-maxminimaxmultiresolutionmutuallynets,neuralneuro-fuzzyneurobiologicalnonexclusiveone-passonlinepatternrecognitionrecognition,setstatisticaltechniques,theory,
(0)
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2Genetic synthesis of Boolean neural networks with a cell rewriting developmental process
F. Gruau. Combinations of Genetic Algorithms and Neural Networks, 1992., COGANN-92. International Workshop on, (6 Jun 1992)
15 years ago by @mozaher
show all tags
40
50
Boolean
algorithms,
cell
developmental
encoding,
function,
functions,
genetic
grammar,
grammars,
inputs
nets,
networks,
neural
parity
process,
property
rewriting
scalability
symmetry
synthesis,
systems
4050Booleanalgorithms,celldevelopmentalencoding,function,functions,geneticgrammar,grammars,inputsnets,networks,neuralparityprocess,propertyrewritingscalabilitysymmetrysynthesis,systems
(0)
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1Fuzzy kernel perceptron
J. Chen, and C. Chen. Neural Networks, IEEE Transactions on, 13 (6): 1364--1373 (2002)
15 years ago by @mozaher
show all tags
(artificial
Mercer
classification,
feature
functions,
fuzzy
high-dimensional
intelligence),
kernel,
kernel-based
learning
learning,
machine
mapping
method,
nets,
neural
pattern
perceptron,
perceptrons,
space,
supervised
support
vector
(artificialMercerclassification,featurefunctions,fuzzyhigh-dimensionalintelligence),kernel,kernel-basedlearninglearning,machinemappingmethod,nets,neuralpatternperceptron,perceptrons,space,supervisedsupportvector
(0)
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8A guide to the literature on learning probabilistic networks from data
W. Buntine. Knowledge and Data Engineering, IEEE Transactions on, 8 (2): 195-210 (April 1996)
15 years ago by @mozaher
show all tags
(artificial
Bayes
Bayesian
communities
description
general
hidden
intelligence),
learning
length,
methods,
nets,
network,
networks,
neural
parameters,
probabilistic
probabilityclassical
statistics,
uncertainty
variables,
(artificialBayesBayesiancommunitiesdescriptiongeneralhiddenintelligence),learninglength,methods,nets,network,networks,neuralparameters,probabilisticprobabilityclassicalstatistics,uncertaintyvariables,
(0)
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2Image classification using neural networks and ontologies
C. Breen, L. Khan, and A. Ponnusamy. Database and Expert Systems Applications, 2002. Proceedings. 13th International Workshop on, page 98--102. (2002)
15 years ago by @mozaher
show all tags
Internet,
classification,
content
content-based
data,
databases,
documents,
feedback,
image
information,
meta
multimedia
nets,
networks,
neural
ontologies,
precision,
query,
relevance
relevant
retrieval,
scalable
semantic
system,
user
visual
Internet,classification,contentcontent-baseddata,databases,documents,feedback,imageinformation,metamultimedianets,networks,neuralontologies,precision,query,relevancerelevantretrieval,scalablesemanticsystem,uservisual
(0)
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2Object Class Recognition Using NEAT-Evolved Artificial Neural Network
M. Hasanat, S. Harun, D. Ramachandram, and M. Rajeswari. Computer Graphics, Imaging and Visualisation, 2008. CGIV '08. Fifth International Conference on, (August 2008)
15 years ago by @mozaher
show all tags
(artificial
ANN
Augmenting
Evolution
NEAT-evolved
Neuro
SIFT
Topologies,
art
artificial
class
classifier,
computer
descriptor
feature,
histograms,
intelligence),
learning
learning,
machine
nets,
network,
neural
object
of
recognition,
recognitionNEAT-evolved
robust
statistical
support
vector
vision,
(artificialANNAugmentingEvolutionNEAT-evolvedNeuroSIFTTopologies,artartificialclassclassifier,computerdescriptorfeature,histograms,intelligence),learninglearning,machinenets,network,neuralobjectofrecognition,recognitionNEAT-evolvedrobuststatisticalsupportvectorvision,
(0)
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2Generating fuzzy semantic metadata describing spatial relations from images using the R-histogram

1Neural-network-based segmentation of multi-modal medical images: a comparative and prospective study

2Pruning the vocabulary for better context recognition

2Hybrid object recognition in image sequences

1On neurobiological, neuro-fuzzy, machine learning, and statistical pattern recognition techniques

2Genetic synthesis of Boolean neural networks with a cell rewriting developmental process

1Fuzzy kernel perceptron

8A guide to the literature on learning probabilistic networks from data

2Image classification using neural networks and ontologies

2Object Class Recognition Using NEAT-Evolved Artificial Neural Network

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