Lambert Spaanenburg
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- 2011
- 3D-design exploration of CNN algorithms (
- 2010
- Ensuring Safety in Distributed Networks (
- 2009
- Abnormal Motion Detection in a Real-Time Smart Camera System (
- A CNN-Specific Integrated Processor (
- Behavior Modeling by Neural Networks (
- 2008
- Design Space Exploration for the integrated digital CNN Camera (
- A DT-CNN Data-Flow Implementation (
- Remote Gaming by Deliberate Cellphone Movement (
- Design Space Exploration for a DT-CNN (
- 2007
- Veins feature extraction using DT-CNNS - art. no. 65900N (
- Bit-Serial Approach Moves DT-CNN into Real-Time (
- Early detection of abnormal emergent behaviour (
- Power-driven FPGA to ASIC conversion (
- Efficiency considerations for DT-CNN hardware (
- Impact of shared data in MPEG-4 H.264/AVC parallelisation (
- Digital Arithmetic Needs of Cellular Neural Networks (CNN) (
- Hand Veins Feature Extraction using DT-CNNs (
- 2006
- A CNN hardware-only approach to speed measurement (
- General introduction to ASIC design (
- The need for large local FPGA-accessible memories (
- Velocity measurement by a vision sensor (
- Hand Veins Feature Extraction using DTCNNs (
- Vein feature extraction using DT-CNNs (
- In search of a robust digital CNN system (
- Design method for Unconventional Computing (
- 2005
- Balancing BlockRAM and distributed RAM (
- Snow 2.0 IP core for trusted hardware (
- Artificial life goes 'in silico' (
- Artificial Life goes 'in Silico' (
- ISO/OSI compliant network-on-chip implementation for CNN applications (
- Self-similar module for FP/LNS arithmetic in high-performance FPGA systems (
- 2004
- An exploration of digital CNN implementations (
- A parametrisable system for physically plausible surface inspection (
- Early detection of abnormal network behavior (
- Using correlation in MFM model design and validation (
- Constructing a neural system for surface inspection (
- Neural vision sensors for surface defect detection (
- Constructing a neural system for surface inspection (
- On the packet-switched implementation of a discrete-time CNN (
- Improving expressional power and validation for multilevel flow models (
- Model-based containment of process fault dissemination (
- Sleipner (
- Image stream processing on a packet-switched discrete-time CNN (
- Optimal decomposition of large-neighborhood CNN templates (
- 2003
- Modular and hierarchical specialization in neural networks (
- Signal processing and alarm handling in process control (
- It takes a winner to take his share (
- Embedded sensory systems based on topographic maps (
- Natural learning of neural networks by reconfiguration (
- Searching maps by CNNs on an FPGA (
- Extracting Knowledge from Neural Networks in Image Processing (
- Intelligent reduction of nuisance alarms in process control (
- CNN image processing on a Xilinx Virtex-II 6000 (
- Knowledge discovery in virtual community texts: Clustering virtual communities (
- Preparing a network structure for rule extraction (
- Translating feed-forward nets to SOM-like maps (
- Rule-based reduction of alarm signals in industrial control (
- On the analysis of neural networks for image processing (
- 2002
- Preparing for knowledge extraction in modular neural networks (
- Analysis of neural networks in terms of domain functions (
- Morphological Template Decomposition for DT-CNN (
- Analysis of neural networks for edge detection (
- Embedded Systems Roadmap 2002 (
- On integrated test of embedded components (
- Process Identification through modular neural networks and rule extraction (
- Molding the knowledge in modular neural networks (
- Analysis of neural networks through base functions (
- Process Identification through modular neural networks and rule extraction (
- Composite morphological functions for DT-CNNs (
- A modular neural network classifier for the recognition of occluded characters in automatic license plate reading (