Liu et al., 2017 - Google Patents
Fast unsupervised learning for visual pattern recognition using spike timing dependent plasticityLiu et al., 2017
View PDF- Document ID
- 9284161306404110566
- Author
- Liu D
- Yue S
- Publication year
- Publication venue
- Neurocomputing
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Snippet
Real-time learning needs algorithms operating in a fast speed comparable to human or animal, however this is a huge challenge in processing visual inputs. Research shows a biological brain can process complicated real-life recognition scenarios at milliseconds …
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Classifications
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- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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- G06K9/4604—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
- G06K9/4609—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections by matching or filtering
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