- Master Thesis Atlantis 3D
- Neural Networks as SelfLearning Image
- Online vs Offline learning with large datasets
- Decomposition of mixed pixels in remote sensing images
- Fuzzy classi cation of pixels using neural networks Theo E. Schouten
- Discrete Simulation of "Muon Chamber ReadOut" electronics
- Area Estimation with Subpixel Accuracy for Industrial Imaging Systems
- Experiencing the Message Passing
- PREENS, a Parallel Research Execution Environment for Neural Systems
- Application of Neural Networks for the Classification of Diffuse Liver Disease by Quantitative Echography
- Classification of Microcalcifications by Artificial Neural Networks
- A Segmentation Preprocessor
- ULTRASONIC TISSUE CHARACTERISATION USING NEURALNETWORKS Th E Schouten 1 , M klein Gebbinck 1,2 , J M Thijssen 2 , J T M Verhoeven 2
- Quality Measures for Image Segmentation Using Generated Images Theo E. Schouten, Maurice S. klein Gebbinck
- Fuzzy classification of spectra Theo E. Schouten and Maurice S. klein Gebbinck
- Fast algorithm for spectral mixture analysis of imaging spectrometer Theo E. Schouteny, Maurice S. klein Gebbincky, Z. K. Liuz, S. W. Cenz
- Application of DataDriven Decomposition to LandsatTM Images for Crop Area Estimation
- Platforms for artificial neural networks Neurosimulators
- Neural Networks as SelfLearning Image
- Ultrasonic Tissue Characterization Using Neural Networks
- THE P IN PREENS A dataset parallel interface for convis
- Human-CenteredContent-BasedImageRetrievalEgonL.vandenBroek Human-Centered
- Decomposition of mixed pixels in remote sensing images
- A Scalable Performance Prediction Method for Parallel Neural Network Simulations
- Maurice vanderPot&NiekeRoos TheBabylonProject
- OC 3165 NETWORK COP I ER OP EEN BANYAN V I NES NETWERK November 1996 Afstudeerverslag
- Crop area estimation by datadriven decomposition of mixed pixels in LandsatTM images
- Decomposition of mixed pixels based on a physical linear mixture model
- INTEGRATED METHODOLOGY FOR SEGMENTATION OF LARGE
- Error measurement for segmentation techniques. Hubert F.J.M. Voogd
- Parallelism/Realtime systems Thesis: 429
- Finding Thresholds for Image Segmentation Theo E. Schouten, Maurice S. klein Gebbinck,
- Performance Prediction of large MIMD Systems for Par allel Neural Network Simulations
- A Spatial Query Evaluator for GEO++ F. H. Aries 1
- Artificial Neural Network Approach for NMR Data Analyses
- Decomposition of mixed pixels Maurice S. klein Gebbinck, Theo E. Schouten
- Quality measures for the allocation of mixed pixels. October 15, 1998
- Accurate Area Estimation by DataDriven Decomposition of Mixed Pixels
