All Publications

  1. Mazor, B. roundtable with Carlson, J., Kalocsai, P., Willis, B., Scholten, M. J. & Lazzouni, M. (2005). Biometric Imaging Faces a Reality Check. Advanced Imaging, Volume 5, Number 9, 38-44.
     

  2. Kalocsai, P. & Imparato, N. (2005). Snapshots for Our Times: Face Recognition in 2005. Security Technology & Design, Volume 15, Number 6, 28-34.
     

  3. Sartor, M., Kalocsai, P. & Imparato, N. (2005). Intelligent Video in 2005: The prospects, players and problems behind smart surveillance. Security Technology & Design, Volume 15, Number 4, 36-40.
     

  4. Kalocsai, P. (2004). Separating useful from useless image variation for face recognition. In Proceedings of ICIP, Volume 3, Singapore, 1991-1994.
     

  5. Kalocsai, P. (2004). Human sensitivity to face statistics computed on V1 similarity [Abstract]. Journal of Vision, 4(8), 435a. http://journalofvision.org/4/8/435/, doi:10.1167/4.8.435.
     

  6. Kalocsai, P. (2004). Putting Gestalt Laws at Work. In Proceedings of the Fourth International Symposium on Engineering of Intelligent Systems (EIS2004), Madeira, Portugal, ICSC Academic Press. , http://www.x-cd.com/eis04/prof46.html
     

  7. Kalocsai, P. (2004). Human sensitivity to face statistics computed on V1 similarity. Thirteenth Annual Computational Neuroscience Meeting (CNS 2004),Baltimore, MD, USA. , http://www.neuroinf.org/CNS/cns2004/
     

  8. Kalocsai, P. & Shams, S. (2001). Use of Bioinformatics in Arrays. In J. B. Rampal (Ed.), DNA Arrays, Methods and Protocols, Methods in Molecular Biology Volume 170, Humana Press.
     

  9. Zhou, Y., Kalocsai, P., Chen, J., & Shams, S. (2000). Information Processing Issues and Solutions Associated with Microarray Technology. In M. Schena (Ed.), Microarray Biochip Technology, A BioTechniques Books Publication, Eaton Publishing.
     

  10. Kalocsai, P., von der Malsburg, C. & Horn, J. (2000). Face recognition by statistical analysis of feature detectors. Image and Vision Computing, Volume 18, Number 4, 273-278.
     

  11. Kalocsai, P. (2000). Recognition Model with Narrow and Broad Extension Fields. Information Sciences, 126, 41-56.
     

  12. Kalocsai, P. (2000). Gene Expression Analysis: From Raw Data to Knowledge. Integrated Bioinformatics: High-Throughput Interpretation of Genes and Proteins, Zurich, Switzerland. Invited lecture.
     

  13. Kalocsai, P. & Shams, S. (1999). Visualization and Analysis of Gene Expression Data. Journal of the Association for Laboratory Automation, Volume 4, Number 5, 58-61.
     

  14. Biederman, I., Subramaniam, S., Bar, M., Kalocsai, P., & Fiser, J. (1999). Subordinate-level Object Classification Reexamined. Psychological Research, 62, 131-153.
     

  15. Kalocsai, P. (1999). Visualization and Analysis of Gene Expression Data. SmallTalk’99, The Microfluidics and Microarrays Conference, 52.
     

  16. Shams, S., Park, J.D., Chen, J.Y., Kalocsai, P. and Zhou, Y. (1999). Image Analysis and Data Management Issues Associated with Microarray Technology. DNA Microarrays - The New Frontier in Gene Discovery and Gene Expression Analysis. Short Course Syllabus. Society for Neuroscience, Miami Beach, FL. 43-56.
     

  17. Kalocsai, P. & Biederman, I. (1998). Differences of Face and Object Recognition in Utilizing Early Visual Information. In H. Wechsler, P. J. Phillips, V. Bruce, F. Fogelman Soulie, & T. Huang (Eds.), Face Recognition: From Theory to Applications. NATO ASI Series F, Springer-Verlag.
     

  18. Biederman, I. & Kalocsai, P. (1998). Neural and Psychophysical Analysis of Object and Face Recognition. In H. Wechsler, P. J. Phillips, V. Bruce, F. Fogelman Soulie, & T. Huang (Eds.), Face Recognition: From Theory to Applications. NATO ASI Series F, Springer-Verlag.
     

  19. Kalocsai, P., Neven, H., & Steffens, J. (1998). Statistical Analysis of Gabor-filter Representation. In Proceedings of the Third IEEE International Conference on Automatic Face and Gesture Recognition, Nara, Japan, 360-365.
     

  20. Kalocsai, P., Zhao, W., & Elagin, E. (1998). Face Similarity Space as Perceived by Humans and Artificial Systems. In Proceedings of the Third IEEE International Conference on Automatic Face and Gesture Recognition, Nara, Japan, 177-180.
     

  21. Kalocsai, P. (1998). Face Recognition with Gabor-filter Representation. For the Ph.D. in Cognitive Psychology degree, University of Southern California, Los Angeles, California.
     

  22. Biederman, I. & Kalocsai, P. (1997). Neurocomputational Bases of Object and Face Recognition. Philosophical Transactions of the Royal Society: Biological Sciences, 352, 1203-1219.
     

  23. Kalocsai, P. (1997). Biologically Inspired Recognition Model with Extension Fields. In Proceedings of ICIP, Volume II, Santa Barbara, California, 450-453.
     

  24. Biederman, I., Subramaniam, S., Kalocsai, P., & Bar, M. (1997). Viewpoint-Invariant Information in Subordinate-Level Object Classification. In D. Gopher & A. Koriat (Eds.), Attention and Performance XVII. Cognitive Regulation of Performance: Interaction of Theory and Application. Cambridge, MA: MIT Press.
     

  25. Kalocsai, P. & Biederman, I. (1997). Recognition Model with Narrow and Broad Extension Fields. In M. G. Shafto & P. Langley (Eds.), Proceedings of the Nineteenth Annual Conference of the Cognitive Science Society. Mahwah, New Jersey: Lawrence Erlbaum Associates, 364-369.
     

  26. Kalocsai, P. (1997). Recognition Model with Extension Fields. In J. Mira, R. Moreno-Diaz & J Cabestany (Eds.), Biological and Artificial Computation: From Neuroscience to Technology, Proceedings of IWANN, LNCS 1240, Lanzarote, Spain: Springer-Verlag, 1164-1173.
     

  27. Kalocsai, P. & Biederman, I. (1997). Recognition Model with Extension Fields. In Proceedings of the European Conference on Visual Perception.
     

  28. Kalocsai, P. (1997). Improving the Shape Recognition Performance of a Model with Gabor Filter Representation. In Proceedings of CAIP, Lecture Notes in Computer Science, Springer-Verlag.
     

  29. Kalocsai, P. & Biederman, I. (1997). Biologically Inspired Recognition Model with Extension Fields. In Proceedings of Vision, Recognition, Action: Neural Models of Mind and Machine, 21.
     

  30. Kalocsai, P. (1997). Recognition Model with Horizontal Connections and Extension Fields. In Proceedings of International Conference of Information Sciences, 62-65.
     

  31. Kalocsai, P. & Biederman, I. (1997). Biologically Inspired Recognition Model. In Proceedings of the 4th Joint Symposium on Neural Computation, 116-123.
     

  32. Kalocsai, P., & Biederman, I. (1996). Addition of horizontal connections and extension fields to a low level object recognition model qualitatively improves its performance. Paper presented at the Meeting on Object Perception and Memory, Chicago, Nov.
     

  33. Kalocsai, P., Biederman, I, Fiser, J., & Fang, P. (1996). Do complementary images (in the Fourier domain) of faces and objects prime each other? Investigative Ophthalmology & Visual Science, 37, 176.
     

  34. O'Kane, B. L., Biederman, I., Cooper, E. E., & Kalocsai, P. (1996). Modeling parameters for target identification: Spatial filters vs. critical features. Paper presented at the IRIS conference, Monterey, CA.
     

  35. O'Kane, B. L., Biederman, I., Cooper, E. E., & Kalocsai, P. (1996). Spatial filter and geon models as a biological framework for the identification of thermal signatures. Paper presented at the Meetings of the Army Science Board, Newport News, VA.
     

  36. Kalocsai, P. (1995). Optimum Conditions for Capturing Mugshots and Facial Images. Invited talk at the Mugshot and Facial Image Standards Workshop, National Institute of Standards and Technology, US Department of Commerce, Gaithersburg, MD.
     

  37. Kalocsai, P., & Biederman, I. (1995). Selective Attention Among Presumed Classifiers in the Human Face Recognition System. Investigative Ophthalmology & Visual Science, 36, 374.
     

  38. Biederman, I., & Kalocsai, P. (1995). The psychophysics of face recognition. Invited paper at the International Workshop on Automatic Face- and Gesture-Recognition. Zurich, Switzerland, June.
     

  39. Subramaniam, S., Biederman, I., Kalocsai, P., & Madigan, S. F. (1995). Accurate Identification, but Chance Recognition Memory of RSVP Object Pictures. Investigative Ophthalmology & Visual Science, 36, 377.
     

  40. Kalocsai, P., & Biederman, I. (1994). When controlled for physical similarity, differences in emotional expression and gender produce much larger effects on face recognition than rotation in depth. Paper presented at the Second Annual Workshop on Object Perception and Memory. St. Louis, Nov.
     

  41. Kalocsai, P., & Biederman, I. (1994). To What Extent Can the Recognition of Unfamiliar Faces be Accounted for by the Direct Output of Simple Cells? Investigative Ophthalmology & Visual Science, 35, 1627.
     

  42. Kalocsai, P. (1993). Automated Face Identification Systems. For the Master of Public Affairs degree, University of Texas at Austin, Austin, Texas.
     

  43. Kalocsai, P., et al. (1993). A Space Strategy for Texas for the 1990s. LBJ School of Public Affairs, Policy Research Project 102.
     

  44. Kalocsai, P. (1991). Evolutionary Economics. For the Bachelor of Economics degree, Budapest University of Economic Sciences, Budapest, Hungary.
     

  45. Kalocsai, P., Konen, W., & Biederman, I. The Contribution of Extension Fields to Shape Recognition Performance of a Model Positing Hypercolumn Reresentations. Submitted to Vision Research.
     

  46. Kalocsai, P., & Biederman, I. Spatial Filter Representation of Orientation, Expression, and Gender in Face Recognition. Submitted to JEP: Human Perception and Performance.
     

  47. Subramaniam, S., Biederman, I. & Kalocsai, P. Predicting the Shape Similarity of Objects without Distinguishing Viewpoint Invariant Properties (VIPs) or Parts. Submitted to Psychological Research.