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2Designing a neural network by a genetic algorithm with partial fitness
M. Fukumi, S. Omatu, and Y. Nishikawa. Proceedings of the IEEE International joint Conference on Neural Networks 1995, IJCNN'95, 4, page 1834--1838. IEEE Computer Society, (November 1995)
14 years ago by @cocus
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(artificial
Fourier
algorithm,
algorithms,
chromosome,
coin
convergence
convergence,
crossover
feedforward
fitness,
genetic
intelligence),
learning
learning,
methods,
nets,
network,
neural
numerical
object
of
operation
operation,
partial
recognition
recognitionFourier
selection
spectra,
system,
transform
transform,
(artificialFourieralgorithm,algorithms,chromosome,coinconvergenceconvergence,crossoverfeedforwardfitness,geneticintelligence),learninglearning,methods,nets,network,neuralnumericalobjectofoperationoperation,partialrecognitionrecognitionFourierselectionspectra,system,transformtransform,
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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
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(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
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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
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(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
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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
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(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,
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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
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(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
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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
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(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,
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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
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(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,
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2Designing a neural network by a genetic algorithm with partial fitness

2Generating fuzzy semantic metadata describing spatial relations from images using the R-histogram

2Pruning the vocabulary for better context recognition

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

1Fuzzy kernel perceptron

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

2Object Class Recognition Using NEAT-Evolved Artificial Neural Network

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