Ashby FG, Boynton G, Lee WW. (1994). Categorization response time with multidimensional stimuli. Perception & psychophysics. 55 [PubMed]

Ashby FG, Ell SW. (2001). The neurobiology of human category learning. Trends in cognitive sciences. 5 [PubMed]

Bartlett MS, Movellan JR, Sejnowski TJ. (2002). Face recognition by independent component analysis. IEEE transactions on neural networks. 13 [PubMed]

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

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

Cottrell G, Metcalfe J. (1991). EMPATH: Face, emotion, and gender recognition using holons Advances in neural information processing systems.

Dailey MN, Cottrell GW, Padgett C, Adolphs R. (2002). EMPATH: a neural network that categorizes facial expressions. Journal of cognitive neuroscience. 14 [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

Edelman S. (1999). Representation and recognition in vision.

Fisher R. (1936). The Case of Multiple Measurements in Taxonomic Problems Ann Eugen. 7

Foldiak P. (1998). What is wrong with prototypes Behav Brain Sci. 21

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.

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 Classification and feature extraction in man and machine Unpublished doctoral dissertation.

Graf A, Wichmann F. (2002). Gender classification of human faces Biologically Motivated Computer Vision, LNCS 2525.

Graf A, Wichmann F. (2004). Insights from machine learning applied to human visual classification Advances in neural information processing systems. 16

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

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

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

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

Kistler WM, Gerstner W. (2002). Spiking neuron models.

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

Leopold DA, O'Toole AJ, Vetter T, Blanz V. (2001). Prototype-referenced shape encoding revealed by high-level aftereffects. Nature neuroscience. 4 [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

Nosofsky RM. (1991). Tests of an exemplar model for relating perceptual classification and recognition memory. Journal of experimental psychology. Human perception and performance. 17 [PubMed]

O'Toole AJ et al. (1998). The perception of face gender: the role of stimulus structure in recognition and classification. Memory & cognition. 26 [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 research. 39 [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

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

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.

Pentland A, Turk M. (1991). Eigen faces for recognition J Cogn Neurosci. 3

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

ROSENBLATT F. (1958). The perceptron: a probabilistic model for information storage and organization in the brain. Psychological review. 65 [PubMed]

Reed S. (1972). Pattern recognition and categorization Cogn Psychol. 3

Riesenhuber M, Poggio T. (1999). Hierarchical models of object recognition in cortex. Nature neuroscience. 2 [PubMed]

Riesenhuber M, Poggio T. (2002). Neural mechanisms of object recognition. Current opinion in neurobiology. 12 [PubMed]

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

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

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

Sejnowski TJ, Churchland PS. (1992). The Computational Brain.

Sirovich L, Kirby M. (1987). Low-dimensional procedure for the characterization of human faces. Journal of the Optical Society of America. A, Optics and image science. 4 [PubMed]

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

Tipping M. (2001). Sparse Bayesian learning and the relevance vector machine J Mach Learn Res. 1

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? Journal of mathematical psychology. 41 [PubMed]

Vapnik V. (1998). Statistical Learning Theory.

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

Vetter T, Blanz V. (1999). A morphable model for the synthesis of 3D faces Siggraph99.

Wichmann FA, Hill NJ. (2001). The psychometric function: I. Fitting, sampling, and goodness of fit. Perception & psychophysics. 63 [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

Williamson R, Graepel T, Herbrich R. (2001). From margin to sparsity Advances in neural information processing systems.