Psychometric functions within the framework of binary signal detection theory: Coding the face identity

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4881 LNCS, Issue , 2007, Pages 248-257

  Gopych, Petro ^a   Kolot, Anna ^b  

^a Universal Power Systems USA Ukraine LLC   (Ukraine)

^b LL Girshman Municipal Clinic No 14   (Ukraine)

Author keywords

Face recognition; Generalization through memory; Neural networks; Neyman Pearson objective; Prototype face identification model

Indexed keywords

BINARY SEQUENCES; COMPUTER VISION; FACE RECOGNITION;

BINARY SIGNAL DETECTION THEORY; GENERALIZATION THROUGH MEMORY; NEYMAN-PEARSON OBJECTIVE; PROTOTYPE FACE IDENTIFICATION; PSYCHOMETRIC FUNCTIONS (PFS);

NEURAL NETWORKS;

EID: 38449085462     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-77226-2_26     Document Type: Conference Paper

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