[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Krieg et al., 1990 - Google Patents

Analog signal processing using cellular neural networks

Krieg et al., 1990

Document ID
4250563127125998390
Author
Krieg K
Chua L
Yang L
Publication year
Publication venue
IEEE International Symposium on Circuits and Systems

External Links

Snippet

The cellular neural network (CNN) is an example of very-large-scale analog processing or collective analog computation. The CNN architecture combines some features of fully connected analog neural networks with the nearest-neighbor interactions found in cellular …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • G06N3/0635—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means using analogue means
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/68—Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of references in which the sequence of the image signals or the references is relevant, e.g. addressable memory
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • G06N3/04—Architectures, e.g. interconnection topology
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50—Computer-aided design
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer

Similar Documents

Publication Publication Date Title
Lin et al. Exploring context with deep structured models for semantic segmentation
Chua et al. The CNN paradigm
Chua et al. Cellular neural networks: Applications
Goser et al. Aspects of systems and circuits for nanoelectronics
Koch Seeing chips: Analog VLSI circuits for computer vision
Krieg et al. Analog signal processing using cellular neural networks
Yu et al. Relaxation by the Hopfield neural network
Foo et al. Analog components for the VLSI of neural networks
Cimagalli et al. Cellular neural networks: A review
Tao et al. Circuit modeling for RRAM-based neuromorphic chip crossbar array with and without write-verify scheme
Milev et al. Analog implementation of ANN with inherent quadratic nonlinearity of the synapses
Chua et al. Memristor computing systems
US5923779A (en) Computing circuit having an instantaneous recognition function and instantaneous recognition method
Paasio et al. A qcif resolution binary i/o cnn-um chip
Harris Analog models for early vision
Lee et al. VLSI neuroprocessors for video motion detection
Serrano-Gotarrdeona et al. An ART1 microchip and its use in multi-ART1 systems
Anguita et al. A low-power CMOS implementation of programmable CNN's with embedded photosensors
Lee et al. VLSI image processor using analog programmable synapses and neurons
Sunayama et al. Cellular νMOS circuits performing edge detection with difference-of-Gaussian filters
Gopikakumari et al. Investigations on the development of an ANN model & visual manipulation approach for 2-D DFT computation in image processing
Salam et al. A 50-neuron CMOS analog chip with on-chip digital learning: design, development, and experiments
Bridges et al. A reconfigurable VLSI learning array
Zhao et al. Silicon neuron transistor based on CMOS negative differential resistance (NDR)
Anusha et al. Static Hand Gesture Prediction Using Inception V3