Zhang > programming, Neural

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1Genetic Programming for Object Detection: A Two-Phase Approach with an Improved Fitness Function
M. Zhang, U. Bhowan, and B. Ny. Electronic Letters on Computer Vision and Image Analysis, 6 (1): 27--43 (2006)
17 years ago by @brazovayeye
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genetic
Artificial
Intelligence
neural
approaches
Image
networks
algorithms,
computer
programming,
analysis,
to
vis,
geneticArtificialIntelligenceneuralapproachesImagenetworksalgorithms,computerprogramming,analysis,tovis,
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2Improving Object Detection Performance with Genetic Programming
M. Zhang. International Journal on Artificial Intelligence Tools, 16 (5): 849--873 (October 2007)
17 years ago by @brazovayeye
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genetic
recognition,
neural
function,
program
size,
networks
target
algorithms,
learning,
programming,
fitness
object
two-phase
geneticrecognition,neuralfunction,programsize,networkstargetalgorithms,learning,programming,fitnessobjecttwo-phase
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2Genetic Programming for Multiple Class Object Detection
M. Zhang, and V. Ciesielski. 12th Australian Joint Conference on Artificial Intelligence, volume 1747 of LNAI, page 180--192. Sydney, Australia, Springer-Verlag, (6-10 December 1999)
17 years ago by @brazovayeye
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genetic
algorithms,
learning,
networks,
programming,
Vision
Neural
Machine
geneticalgorithms,learning,networks,programming,VisionNeuralMachine
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2A Domain-independent Window approach to Multiclass Object Detection using Genetic Programming
M. Zhang, V. Ciesielski, and P. Andreae. EURASIP Journal on Applied Signal Processing, 2003 (8): 841--859 (July 2003)Special Issue on Genetic and Evolutionary Computation for Signal Processing and Image Analysis.
17 years ago by @brazovayeye
show all tags
genetic
recognition,
neural
target
algorithms,
computer
learning,
networks,
programming,
detection,
machine
vision
object
geneticrecognition,neuraltargetalgorithms,computerlearning,networks,programming,detection,machinevisionobject
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2Balancing Accuracy and Parsimony in Genetic Programming
B. Zhang, and H. Mühlenbein. Evolutionary Computation, 3 (1): 17--38 (1995)
17 years ago by @brazovayeye
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principle,
genetic
Minimum
Bayesian
neural
length
description
Machine
comparison,
algorithms,
induction,
learning,
programming,
Evolving
Tree
model
networks.
principle,geneticMinimumBayesianneurallengthdescriptionMachinecomparison,algorithms,induction,learning,programming,EvolvingTreemodelnetworks.
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1Adaptive Fitness Functions for Dynamic Growing/Pruning of Program Trees
B. Zhang, and H. Mühlenbein. Advances in Genetic Programming 2, chapter 12, MIT Press, Cambridge, MA, USA, (1996)
17 years ago by @brazovayeye
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Razor,
genetic
functions
neural
length
description
(MDL),
adaptive
algorithms,
programming,
fitness
Occam's
minimum
trees,
Razor,geneticfunctionsneurallengthdescription(MDL),adaptivealgorithms,programming,fitnessOccam'sminimumtrees,
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1Object Detection using Neural Networks and Genetic Programming
B. Chin, and M. Zhang. Technical report, CS-TR-07-3. Computer Science, Victoria University of Wellington, New Zealand, (November 2007)
17 years ago by @brazovayeye
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genetic
algorithms,
selection
networks,
neural
programming,
feature
detection,
refinement,
region
object
geneticalgorithms,selectionnetworks,neuralprogramming,featuredetection,refinement,regionobject
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1Evolutionary Induction of Sparse Neural Trees
B. Zhang, P. Ohm, and H. Mühlenbein. Evolutionary Computation, 5 (2): 213--236 (1997)
17 years ago by @brazovayeye
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principle,
genetic
Minimum
neural
higher-order
breeder
length
tree
program
description
algorithms,
induction,
representation,
networks,
prediction,
programming,
series
time
algorithm
principle,geneticMinimumneuralhigher-orderbreederlengthtreeprogramdescriptionalgorithms,induction,representation,networks,prediction,programming,seriestimealgorithm
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2Forecasting High-Frequency Financial Time Series with Evolutionary Neural Trees: The Case of Heng-Sheng Stock Index
S. Chen, H. Wang, and B. Zhang. Proceedings of the International Conference on Artificial Intelligence, IC-AI '99, 2, page 437--443. Las Vegas, Nevada, USA, CSREA Press, (28 June-1 July 1999)
17 years ago by @brazovayeye
show all tags
genetic
Breeder
algorithms,
Artificial
Networks,
programming,
Evolutionary
Genetic
Trees,
Algorithm
Neural
Sigma-Pi
geneticBreederalgorithms,ArtificialNetworks,programming,EvolutionaryGeneticTrees,AlgorithmNeuralSigma-Pi
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1Genetic Programming for Object Detection: A Two-Phase Approach with an Improved Fitness Function

2Improving Object Detection Performance with Genetic Programming

2Genetic Programming for Multiple Class Object Detection

2A Domain-independent Window approach to Multiclass Object Detection using Genetic Programming

2Balancing Accuracy and Parsimony in Genetic Programming

1Adaptive Fitness Functions for Dynamic Growing/Pruning of Program Trees

1Object Detection using Neural Networks and Genetic Programming

1Evolutionary Induction of Sparse Neural Trees

2Forecasting High-Frequency Financial Time Series with Evolutionary Neural Trees: The Case of Heng-Sheng Stock Index

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publications (hide)9
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