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Object comparison using PDE‐based wave metric on cellular neural networks

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/cta.191openalex-snapshot
ACE4k: An analog I/O 64×64 visual microprocessor chip with 7‐bit analog accuracy
inferredcites →https://doi.org/10.1002/cta.202openalex-snapshot
CNN architectures for constrained diffusion based locally adaptive image processing
inferredcites →https://doi.org/10.1002/cta.337openalex-snapshot
Topographic cellular active contour techniques: theory, implementations and comparisons
inferredcites →https://doi.org/10.1006/gmip.1997.0446openalex-snapshot
Contrast Enhancement via Image Evolution Flows
inferredcites →https://doi.org/10.1007/978-0-387-30440-3_534openalex-snapshot
Synergetics, Introduction to
inferredcites →https://doi.org/10.1007/978-3-642-70210-5openalex-snapshot
Self-Organization Autowaves and Structures Far from Equilibrium
inferredcites →https://doi.org/10.1007/978-3-642-96469-5openalex-snapshot
Synergetics
inferredcites →https://doi.org/10.1007/bf00133570openalex-snapshot
Snakes: Active contour models
inferredcites →https://doi.org/10.1007/bf01210742openalex-snapshot
Curvature and the evolution of fronts
inferredcites →https://doi.org/10.1016/0021-9991(80)90030-3openalex-snapshot
Flame advection and propagation algorithms
inferredcites →https://doi.org/10.1016/0021-9991(88)90002-2openalex-snapshot
Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations
inferredcites →https://doi.org/10.1016/0031-3203(68)90013-7openalex-snapshot
Distance functions on digital pictures
inferredcites →https://doi.org/10.1016/0167-2789(91)90213-sopenalex-snapshot
Autowave principles for parallel image processing
inferredcites →https://doi.org/10.1023/a:1008153320440openalex-snapshot
Computing with Front Propagation: Active Contour And Skeleton Models In Continuous-Time CNN
inferredcites →https://doi.org/10.1023/a:1008161522257openalex-snapshot
A Nonlinear Wave Metric and its CNN Implementation for Object Classification
inferredcites →https://doi.org/10.1109/31.7600openalex-snapshot
Cellular neural networks: theory
inferredcites →https://doi.org/10.1109/31.7601openalex-snapshot
Cellular neural networks: applications
inferredcites →https://doi.org/10.1109/34.232073openalex-snapshot
Comparing images using the Hausdorff distance
inferredcites →https://doi.org/10.1109/34.368173openalex-snapshot
Shape modeling with front propagation: a level set approach
inferredcites →https://doi.org/10.1109/34.56205openalex-snapshot
Scale-space and edge detection using anisotropic diffusion
inferredcites →https://doi.org/10.1109/72.883456openalex-snapshot
Morphology and autowave metric on CNN applied to bubble-debris classification
inferredcites →https://doi.org/10.1109/81.222795openalex-snapshot
The CNN paradigm
inferredcites →https://doi.org/10.1109/82.222815openalex-snapshot
The CNN universal machine: an analogic array computer
inferredcites →https://doi.org/10.1142/s0218127494000149openalex-snapshot
A WAVE APPROACH TO PATTERN RECOGNITION (WITH APPLICATION TO OPTICAL CHARACTER RECOGNITION)
inferredcites →https://doi.org/10.1142/s0218127494000782openalex-snapshot
SYNERGETICS: FROM PATTERN FORMATION TO PATTERN ANALYSIS AND PATTERN RECOGNITION
inferredcites →https://doi.org/10.1145/98524.98599openalex-snapshot
Computing the minimum Hausdorff distance for point sets under translation
inferredcites →https://doi.org/10.1201/crceleenghbkopenalex-snapshot
Electrical Engineering Handbook
inferredcites →https://doi.org/10.4310/jdg/1214444092openalex-snapshot
Numerical algorithms for propagating interfaces: Hamilton-Jacobi equations and conservation laws
inferredcites →https://doi.org/10.5860/choice.31-1533openalex-snapshot
The Electrical engineering handbook

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/cta.433openalex-snapshot
Analysis of nonlinear oscillatory network dynamics via time‐varying amplitude and phase variables
inferred← citeshttps://doi.org/10.1002/cta.437openalex-snapshot
Circuits, computers, and beyond Boolean logic
inferred← citeshttps://doi.org/10.1002/cta.485openalex-snapshot
Cellular wave computer algorithms with spatial semantic embedding for handwritten text recognition
inferred← citeshttps://doi.org/10.1002/cta.701openalex-snapshot
High‐order sensitivity invariants
inferred← citeshttps://doi.org/10.1002/cta.v37:10openalex-snapshot
inferred← citeshttps://doi.org/10.1007/978-1-4419-1011-0_2openalex-snapshot
Cellular Wave Computing in Nanoscale via Million Processor Chips
inferred← citeshttps://doi.org/10.1109/cnna.2008.4588662openalex-snapshot
Implementing the grayscale wave metric on a cellular array processor chip
inferred← citeshttps://doi.org/10.1109/tbme.2009.2024315openalex-snapshot
Online 3-D Reconstruction of the Right Atrium From Echocardiography Data via a Topographic Cellular Contour Extraction Algorithm
inferred← citeshttps://doi.org/10.1142/9789814434805_0004openalex-snapshot
FROM CNN DYNAMICS TO CELLULAR WAVE COMPUTERS
inferred← citeshttps://doi.org/10.4218/etrij.12.0112.0107openalex-snapshot
Modular Cellular Neural Network Structure for Wave-Computing-Based Image Processing
inferred← citeshttps://doi.org/10.5772/6256openalex-snapshot
A SIFT-Based Fingerprint Verification System Using Cellular Neural Networks
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