A learning technique for Volterra series representation.
System identification learning method based on pattern recognition involving on-line error correction procedure for Volterra series system representation
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System identification learning method based on pattern recognition involving on-line error correction procedure for Volterra series system representation
Algorithm concept for information processing and pattern recognition involving incomplete or uncertain data
State variable techniques applied to optimal continuous linear feature extraction for binary Gaussian pattern recognition or detection problem
Pattern recognition employed to classify EEG
Learning machines and concept of pattern recognition
Multichannel magnetograph display for pattern recognition of solar feature morphology compared with spectroheliograms
Consistent and inconsistent linear inequalities evaluating speed and efficiency of algorithm for pattern recognition problems
Star field pattern recognition methods for spacecraft attitude determination without a priori knowledge of star position-vehicle attitude relationship
Generalized iterative inverse algorithm for linear inequalities set involved in pattern recognition and threshold logic requiring decision functions determination
Airborne multispectral sensing, describing multichannel scanners, pattern recognition techniques and equipment, etc
Image detection in pattern recognition through bipolar correlation, discussing reference generating algorithms and digital simulation results
Pattern recognition and soil mapping for soil classification by remote sensors
Automatic pattern recognition system to locate Martian pole star for unmanned surface vehicle navigation
Telemetry decommutation system using linguistic and statistical methods in pattern recognition
Holography utilization to data processing, discussing factors affecting recording and matched filters creation for pattern recognition
Skylab earth resources experimental equipment, describing sensing and recording instrumentation for electromagnetic spectral pattern recognition studies
Crop surveys from multiband and multibase satellite photography during Apollo 9 mission, using statistical multispectral pattern recognition digital techniques
Photography revealed the widespread and variable effects of southern corn leaf blight in Indiana. Three levels of severity of the infection could be discerned from good quality color and color infrared photography. As many as five severity levels appeared to be detectable and classifiable with multispectral scanner data and pattern recognition analysis. These conclusions are preliminary in nature, however, having been obtained from a limited amount of good quality scanner data collected over a small geographic area.