1/fp Characteristics of the Fourier power spectrum affects ERP correlates of face learning and recognition
Marko Blickhan(Friedrich Schiller University Jena), Christoph Redies(Jena University Hospital), Joachim Denzler(Ernst Abbe University of Applied Sciences Jena), Stefan R. Schweinberger(Schiller International University), Jürgen M. Kaufmann(Friedrich Schiller University Jena)
Cited by 11
Related Papers
Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning
|Scientific Reports|2017|334
Information theoretic sensor data selection for active object recognition and state estimation
|IEEE Transactions on Pattern Analysis and Machine Intelligence|2002|261
Selecting Influential Examples: Active Learning with Expected Model Output Changes
|Lecture notes in computer science|2014|204
Fractal-like image statistics in visual art: similarity to natural scenes
|Spatial Vision|2007|163