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tuhma documents
Documents
Jan Jantzen- Introduction To Perceptron Networks
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Anthony Kuh- Neural Networks and Learning Theory
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David S. Tuch- Q-Ball Imaging
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David S. Tuch et al- High Angular Resolution Diffusion Imaging Reveals Intravoxel White Matter Fiber Heterogeneity
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Haibo Li, Torbjorn Kronander and Ingemar Ingemarsson- A Pattern Classifier Integrating Multilayer Perceptron and Error-Correcting Code
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P.J. Gawthrop and D. Sbarbaro- Stochastic Approximation and Multilayer Perceptrons: The Gain Backpropagation Algorithm
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Stephan Trenn- Multilayer perceptrons: Approximation order and necessary number of hidden units
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Fabrice Rossi, Brieuc Conan-Guez and Francois Fleuret- Theoretical Properties of Functional Multi Layer Perceptrons
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P.A. Castillo et al- Optimisation of Multilayer Perceptrons Using a Distributed Evolutionary Algorithm with SOAP
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M. Perrin et al- Fiber tracking in q-ball fields using regularized particle trajectories
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Maxime Descoteaux et al- Regularized, Fast, and Robust Analytical Q-Ball Imaging
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Kalvis M Jansons and Daniel C Alexander- Persistent angular structure: new insights from diffusion magnetic resonance imaging data
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Christopher P. Hess et al- Q-Ball Reconstruction of Multimodal Fiber Orientations Using The Spherical Harmonic Basis
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Van J. Wedeen et al- Mapping Complex Tissue Architecture With Diffusion Spectrum Magnetic Resonance Imaging
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Evren Ozarslan et al- Resolution of complex tissue microarchitecture using the diffusion orientation transform (DOT)
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Maxime Descoteaux, Rachid Deriche and Alfred Anwander- Deterministic and Probabilistic Q-Ball Tractography: from Diffusion to Sharp Fiber Distributions
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D. Alexander- A comparison of q-ball and PASMRI on sparse diffusion MRI data
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Dietmar Heinke and Fred H. Hamker- Comparing Neural Networks: A Benchmark on Growing Neural Gas, Growing Cell Structures, and Fuzzy ARTMAP
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Clifford Sze-Tsan Choy and Wan-Chi Siu- Fast Sequential Implementation of “Neural-Gas” Network for Vector Quantization
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Ajantha S. Atukorale and P.N. Suganthan- Hierarchical overlapped neural gas network with application to pattern classification
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Shao-Han Liu and Jzau-Sheng Lin- A compensated fuzzy Hopfield neural network for codebook design in vector quantization
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