Riesenhuber M, Poggio T. Hierarchical Models of Object Recognition in Cortex. Nature Neuroscience, 1999, 2: 1019-1025
[2]
Mutch J, Lowe D G. Multiclass Object Recognition with Sparse, Localized Features // Proc of the Computer Society Conference on Computer Vision and Pattern Recognition. New York, USA, 2006: 11-18
[3]
Fukushima K. Neocognitron: A Self-Organizing Neural Network Model for a Mechanism of Pattern Recognition Unaffected by Shift in Position. Biological Cybernetics, 1980, 36(4): 193-202
[4]
Hubel D H, Wiesel T N. Receptive Fields, Binocular Interaction and Functional Architecture in the Cat's Visual Cortex. The Journal of Physiology, 1962, 160(1): 106-154
[5]
Fukushima K, Wake N. Handwritten Alphanumeric Character Recognition by the Neocognitron. IEEE Trans on Neural Networks, 1991, 2(3): 355-364
[6]
Tsunoda K, Yamane Y, Nishizaki M, et al. Complex Objects Are Represented in Macaque Inferotemporal Cortex by the Combination of Feature Columns. Nature Neuroscience, 2001, 4(8): 832-838
[7]
Hubel D H, Wiesel T N. Functional Architecture of Macaque Monkey Visual Cortex(Ferrier Lecture). Proc of the Royal of Society of London B: Biological Sciences, 1977, 198: 1-59
[8]
Rolls E T, Milward T. A Model of Invariant Object Recognition in the Visual System: Learning Rules, Activation Functions, Lateral Inhibition, and Information-Based Performance Measures. Neural Computation, 2000, 12(1): 2547-2572
[9]
Wallis G, Rolls E. A Model of Invariant Object Recognition in the Visual System. Progress in Neurobiology, 1997, 51(1): 167-194
[10]
Mel B W. SEEMORE: Combining Color, Shape and Texture Histogramming in a Neurally Inspired Approach to Visual Object Recognition. Neural Computation, 1997, 9(4): 777-804
[11]
Serre T, Oliva A, Poggio T. A Feedforward Architecture Accounts for Rapid Categorization. Proc of the National Academy of Sciences of the United States of America, 2007, 104(15): 6424-6429
[12]
Schneider R, Riesenhuber M. A Detailed Look at Scale and Translation Invariance in a Hierarchical Neural Model of Visual Object Recognition [EB/OL]. [2002-08-01]. http://dspace.mit.edu/bitstream/handle/1721.1/7178/AIM-2002-01.pdf?sequence=2
[13]
Hochstein S, Ahissar M. View from the Top: Hierarchies and Reverse Hierarchies in the Visual System. Neuron, 2002, 36(5): 791-804
[14]
Yao Xingzhong. Study on Mechanism of Primate Visual Object Recognition and Its Application to Object Recognition. Ph. D Dissertation. Wuhan, China: Huazhong University of Science and Technology. Institute for Pattern Recognition and Artificial Intelligence, 2008 (in Chinese)
