The deformable feature map - A novel neurocomputing algorithm for adaptive plasticity in pattern analysis

Neurocomputing

Volumn 48, Issue 1-4, 2002, Pages 107-139

  Wismuller A ^a   Vietze, F ^b   Dersch, D R ^c   Behrends, J ^a   Hahn, K ^a   Ritter, H ^d  

^a LUDWIG MAXIMILIANS UNIVERSITY   (Germany)

^b Basler AG   (Germany)

^c HypoVereinsbank   (Germany)

^d BIELEFELD UNIVERSITY   (Germany)

Author keywords

Feature maps; Image registration; Neural networks; Pattern analysis; Self organization

Indexed keywords

ADAPTIVE ALGORITHMS; APPROXIMATION THEORY; BRAIN; COMPUTER SIMULATION; DEFORMATION; FUNCTIONS; MAGNETIC RESONANCE; PLASTICITY; PROBABILITY DISTRIBUTIONS;

DEFORMABLE MAPS (DM);

PROBLEM SOLVING;

ALGORITHM; ANALYTIC METHOD; ARTIFICIAL NEURAL NETWORK; BRAIN; COMPUTER SIMULATION; CONTROLLED STUDY; HUMAN; HUMAN EXPERIMENT; IMAGE PROCESSING; INFORMATION PROCESSING; MATHEMATICAL COMPUTING; NERVE CELL PLASTICITY; NONLINEAR SYSTEM; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; PROBABILITY; REVIEW;

EID: 0036825529     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(01)00641-5     Document Type: Review

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