Citation Relationships

Graf ABA, Wichmann FA, Bulthoff HH, Scholkopf B (2005) Classification of Faces in Man and Machine Neural Comput 18:143-165

References and models cited by this paper

References and models that cite this paper

Ashby FG, Boynton G, Lee WW (1994) Categorization response time with multidimensional stimuli. Percept Psychophys 55:11-27 [PubMed]

Ashby FG, Ell SW (2001) The neurobiology of human category learning. Trends Cogn Sci 5:204-210 [PubMed]

Bartlett MS, Movellan JR, Sejnowski TJ (2002) Face recognition by independent component analysis. IEEE Trans Neural Netw 13:1450-64 [Journal] [PubMed]

Blanz V, Vetter T (1999) A morphable model for the synthesis of 3D faces Siggraph99 :187-194

Calder AJ, Burton AM, Miller P, Young AW, Akamatsu S (2001) A principal component analysis of facial expressions. Vision Res 41:1179-208 [PubMed]

Churchland PS, Sejnowski TJ (1992) The Computational Brain

Cottrell G, Metcalfe J (1991) EMPATH: Face, emotion, and gender recognition using holons Advances in neural information processing systems, Touretzky D:Lippman R, ed. pp.654

Dailey MN, Cottrell GW, Padgett C, Adolphs R (2002) EMPATH: a neural network that categorizes facial expressions. J Cogn Neurosci 14:1158-73 [Journal] [PubMed]

Dayan P, Abbott L (2001) Neural encoding: Firing rates and spike statistics Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems

Duda RO, Hart PE, Stork DG (2000) Pattern Classification (2nd edition)

Edelman S (1995) Representation, similarity, and the chorus of prototypes Minds And Machines 5:45-68

Edelman S (1999) Representation and recognition in vision

Fisher R (1936) The Case of Multiple Measurements in Taxonomic Problems Ann Eugen 7:179-188

Foldiak P (1998) What is wrong with prototypes Behav Brain Sci 21:471-472

Freund Y, Schapire R (1995) A decision-theoretic generalization of on-line learning and an application to boosting Second European Conference On Computational Learning Theory, Vit'anyi PMB, ed. pp.23

Furl N, Phillips P, Otoole A (2002) ace recognition algorithms and the other-race effect: Computational mechanisms for a developmental contact hypothesis Cogn Sci 26:797-815

Gerstner W, Kistler WM (2002) Spiking neuron models

Golomb B, Lawrence D, Sejnowski T (1991) SEXNET: A neural network identifies sex from human faces Advances in neural information processing systems, Touretzky D:Lippmann R, ed. pp.572

Graepel T, Herbrich R, Williamson R (2001) From margin to sparsity Advances in neural information processing systems, Leen T:Dietterich TG:Tresp V, ed. pp.210

Graf A (2004) Classification and feature extraction in man and machine Unpublished doctoral dissertation

Graf A, Smola A, Borer S (2003) Classification in a normalized feature space using support vector machines IEEE Transactions On Neural Networks 14:597-605

Graf A, Wichmann F (2002) Gender classification of human faces Biologically Motivated Computer Vision, LNCS 2525, Bulthoff HH:Lee SW:Poggio TA:Wallraven C, ed. pp.491

Graf A, Wichmann F (2004) Insights from machine learning applied to human visual classification Advances in neural information processing systems, Thrun S:Saul LK:Scholkopf B, ed. pp.905

Gray MS, Lawrence DT, Golomb BA, Sejnowski TJ (1995) A perceptron reveals the face of sex. Neural Comput 7:1160-4 [PubMed]

Hancock PJ, Bruce V, Burton MA (1998) A comparison of two computer-based face identification systems with human perceptions of faces. Vision Res 38:2277-88 [PubMed]

Haykin S (1999) Neural Networks: A Comprehensive Foundation (2nd Ed)

Lecun Y, Bottou L, Orr G, Muller KR (1998) Efficient backprop Neural networks: Tricks of the trade, LNCS 1524, Orr GB:Muller KR, ed.

Leopold DA, O'Toole AJ, Vetter T, Blanz V (2001) Prototype-referenced shape encoding revealed by high-level aftereffects. Nat Neurosci 4:89-94 [Journal] [PubMed]

Marr D (1982) Vision: A Computational Investigation into the Human Representation and Processing of Visual Information

Mel BW (1997) SEEMORE: combining color, shape, and texture histogramming in a neurally inspired approach to visual object recognition. Neural Comput 9:777-804

Nosofsky RM (1991) Tests of an exemplar model for relating perceptual classification and recognition memory. J Exp Psychol Hum Percept Perform 17:3-27 [PubMed]

O'Toole AJ, Deffenbacher KA, Valentin D, McKee K, Huff D, Abdi H (1998) The perception of face gender: the role of stimulus structure in recognition and classification. Mem Cognit 26:146-60 [PubMed]

O'Toole AJ, Vetter T, Blanz V (1999) Three-dimensional shape and two-dimensional surface reflectance contributions to face recognition: an application of three-dimensional morphing. Vision Res 39:3145-55 [PubMed]

Otoole A, Abdi H, Deffenbacher KA, Valentin D (1993) Low-dimensional representation of faces in higher dimensions of the face space Journal Of The Optical Society Of America 10:405-411

Otoole A, Phillips P, Cheng Y, Ross B, Wild H (2000) Face recognition algorithms as models of human face processing Proceedings of the 4th IEEE International Conference on Automatic Face and Gesture Recognition

Palmeri T (2001) The time course of perceptual categorization Similarity and categorization, Hahn U:Ramscar M, ed.

Poggio T, Rifkin R, Mukherjee S, Niyogi P (2004) General conditions for predictivity in learning theory. Nature 428:419-22 [Journal] [PubMed]

Reed S (1972) Pattern recognition and categorization Cogn Psychol 3:382-407

Riesenhuber M, Poggio T (1999) Hierarchical models of object recognition in cortex. Nat Neurosci 2:1019-25 [Journal] [PubMed]

Riesenhuber M, Poggio T (2002) Neural mechanisms of object recognition. Curr Opin Neurobiol 12:162-8 [PubMed]

Rolls E, Deco G (2002) Computational neuroscience of vision

Rosch E, Mervis C, Gray W, Johnson D, Boyes-braem P (1976) Basic objects in natural categories Cogn Psychol 8:382-439

ROSENBLATT F (1958) The perceptron: a probabilistic model for information storage and organization in the brain. Psychol Rev 65:386-408 [PubMed]

Schapire R, Freund Y, Bartlett P, Lee W (1998) Boosting the margin: A new explanation for the effectiveness of voting methods Ann Stat 26:1651-1686

Scholkopf B, Smola AJ (2001) Learning with kernels: Support vector machines, regularization, optimization, and beyond

Sirovich L, Kirby M (1987) Low-dimensional procedure for the characterization of human faces. J Opt Soc Am A 4:519-24 [PubMed]

Tipping M (2001) Sparse Bayesian learning and the relevance vector machine J Mach Learn Res 1:211-214

Turk M, Pentland A (1991) Eigen faces for recognition J Cogn Neurosci 3:71-86

Valentin D, Abdi H, Edelman B, O'Toole AJ (1997) Principal Component and Neural Network Analyses of Face Images: What Can Be Generalized in Gender Classification? J Math Psychol 41:398-413 [PubMed]

Vapnik V (1998) Statistical Learning Theory

Vapnik V (2000) The Nature of statistical learning theory (2nd ed)

Wichmann FA, Hill NJ (2001) The psychometric function: I. Fitting, sampling, and goodness of fit. Percept Psychophys 63:1293-313 [PubMed]

Wickens T (2002) Elementary signal detection theory

Williams CKI, Barber D (1998) Bayesian classification with gaussian processes IEEE Trans Patt Anal Mach Intel 20:1342-1351

(54 refs)