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Emergence of invariant-feature detectors in the adaptive-subspace self-organizing map (1996)

Kohonen, Teuvo

Springer

Biological cybernetics 75 (1996), S. 281-291

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ISSN: 1432-0770

Source: Springer Online Journal Archives 1860-2000

Topics: Biology , Computer Science , Physics

Notes: Abstract. A new self-organizing map (SOM) architecture called the ASSOM (adaptive-subspace SOM) is shown to create sets of translation-invariant filters when randomly displaced or moving input patterns are used as training data. No analytical functional forms for these filters are thereby postulated. Different kinds of filters are formed by the ASSOM when pictures are rotated during learning, or when they are zoomed. The ASSOM can thus act as a learning feature-extraction stage for pattern recognizers, being able to adapt to many sensory environments and to many different transformation groups of patterns.

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1007/s004220050295

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