Suchergebnisse

Bülthoff, H.; Fahle, M.: Disparity Gradients and Depth Scaling. Massachusetts Institute of Technology Artificial Intelligence Laboratory and Center for Biological Information Processing Whitaker College, Cambridge, MA, USA (1989), 18 S.

Edelman, S.; Bülthoff, H.; Weinshall, D.: Stimulus familiarity determines recognition strategy for novel 3D objects. (1989)

Edelman, S.; Bülthoff, H.; Weinshall, D.: Stimulus Familiarity Determines Recognition Strategy for Novel 3-D Objects. Massachusetts Institute of Technology Artificial Intelligence Laboratory and Center for Biological Information Processing Whitaker College, Cambridge, MA, USA (1989), 26 S.

Mallot, H.; Bülthoff, H.; Little, J.: Neural Architecture for Optical Flow Computation. Massachusetts Institute of Technology Artificial Intelligence Laboratory and Center for Biological Information Processing Whitaker College, Cambridge, MA, USA (1989)

Yuille, A.; Geiger, D.; Bülthoff, H.: Stereo Integration, Mean Field Theory and Psychophysics. Harvard Robotics Laboratory, Cambridge, MA, USA (1989)

Bülthoff, H.; Mallot, H.: Interaction of Different Modules in Depth Perception: Stereo and Shading. Massachusetts Institute of Technology Artificial Intelligence Laboratory and Center for Biological Information Processing Whitaker College, Cambridge, MA, USA (1987), 28 S.

Little, J.; Bülthoff, H.: Parallel Computation of Optical Flow. Massachusetts Institute of Technology Artificial Intelligence Laboratory and Center for Biological Information Processing Whitaker College, Cambridge, MA, USA (1987)

Poggio, T.; Koch, C.; Torre, V.: Microelectronics In Nerve Cells: Dendritic Morphology and Information Processing. Massachusetts Institute of Technology: Artificial Intelligence Laboratory, Cambridge, MA, USA (1981), 52 S.

Poggio, T.; Koch, C.: Nonlinear Interactions in a Dendritic Tree: Localization, Timing and Role in Information Processing. Massachusetts Institute of Technology: Artificial Intelligence Laboratory, Cambridge, MA, USA (1981), 9 S.

Marr, D.; Poggio, T.: Some Comments on a Recent Theory of Stereopsis. Massachusetts Institute of Technology: Artificial Intelligence Laborartory, Cambridge, MA, USA (1980), 8 S.

Marr, D.; Hildreth, E.; Poggio, T.: Evidence for a Fifth, Smaller Channel in Early Human Vision. Massachusetts Institute of Technology: Artificial Intelligence Laboratory, Cambridge, MA, USA (1979), 8 S.

Marr, D.; Poggio, T.; Ullman, S.: Bandpass Channels, Zero-Crossings, and Early Visual Information Processing. Massachusetts Institute of Technology: Artificial Intelligence Laboratory, Cambridge, MA, USA (1978)

Marr, D.; Poggio, T.: A Theory of Human Stereo Vision. Massachusetts Institute of Technology: Artificial Intelligence Laboratory, Cambridge, MA, USA (1977), 89 S.

Marr, D.; Poggio, T.: From Understanding Computation to Understanding Neural Circuitry. Massachusetts Institute of Technology: Artificial Intelligence Laboratory, Cambridge, MA, USA (1976), 22 S.

Das war 2030.

Spitschan, M. (Hg.): Special Issue "Reproducibility in Sleep and Circadian Science" (Sonderheft). (eingereicht)

Zhaoping, L.: Are we too “smart” to understand how we see?, (2014)

Langovoy, M.: Data-driven goodness-of-fit tests, (2007)

Chi, M.: Advanced Semi-Supervised Techniques for the Classification of Remote Sensing Data, (2006)

Kirschfeld, K.: Ökologischer Realismus. der Freitag 32 (2023)