Suchergebnisse

Bülthoff, H.: Wie kommt die Welt in den Kopf? Sehen und Erkennen in Natur und Technik. Verband Deutscher Maschinen- und Anlagenbau (VDMA): Mitgliederversammlung, Dresden, Germany (2005)

Logothetis, N.: fMRI in the non human primate: Developments and applications. Computational and Systems Neuroscience Meeting (COSYNE 2005), Salt Lake City, UT, USA (2005)

Brendel, A.: Tracking Faces using Active-Appearance-Models on calibrated web cams. GRIS, WSI für Informatik, Eberhard-Karls-Universität, Tübingen, Germany (2005)

Bülthoff, H.: Einführung in die Wahrnehmungsforschung. Blockpraktikum Psychophysik, Tübingen, Germany (2005)

Curio, C.: Computer Vision und Graphik zur Untersuchung komplexer menschlicher Bewegungen. Colloquium "Philosophy of Cognition", Philosophisches Seminar, Eberhard-Karls-Universität, Tübingen, Germany (2005)

Rainer, G.: Neural mechanisms of virtual perception and learning in man and monkey. 6th Meeting of the German Neuroscience Society, 30th Göttingen Neurobiology Conference, Göttingen, Germany (2005)

Bülthoff, H.: Perception and Action in Virtual Environments. NASA Ames Research Center, Moffet Field, CA, USA (2005)

Bülthoff, H.: Perception and Action in Virtual Environments. Human Vision and Electronic Imaging X, San Jose, CA, USA (2005)

Curio, C.: Combining View-Based and Model-Based Tracking of Articulated Human Movements. Computer Science Department, Boston University, Boston, MA, USA (2005)

Curio, C.: Combining View-Based and Model-Based Tracking of Articulated Human Movements. McGovern Institute for Brain, Massachusetts Institute of Technology, Cambridge, MA, USA (2005)

Fleming, R.: Perception of Translucent Materials. Universität Bonn, Department of Computer Science, Colloquium, Bonn, Germany (2004)

Meilinger, T.: How to reach a goal: strategies and representations in wayfinding. Universität Tübingen: Kognitive Neurowissenschaft, Tübingen, Germany (2004)

Bülthoff, H.: Perspektiven der Wahrnehmungsforschung. Lions Club, Pforzheim, Germany (2004)

Zhou, D.: Discrete vs. Continuous: Two Sides of Machine Learning. IBM Watson Research Center, Yorktown Heights, NY, USA (2004)

Zhou, D.: How to learn from very few examples? Google Labs, New York, NY, USA (2004)

Zhou, D.: Discrete vs. Continuous: Two Sides of Machine Learning. Department of Computer Science, and the Center of Computational Learning Systems: Columbia University, New York, NY, USA (2004)

Bousquet, O.: Advanced Statistical Learning Theory. Machine Learning Summer School (MLSS 2004), Berder, France (2004)

Bülthoff, H.: Object Recognition. European Summer School "Visual Neuroscience: From Spikes to Awareness", Schloss Rauischholzhausen, Germany (2004)

Eichhorn, J.: Grundlagen von Support Vector Maschinen und Anwendungen in der Bildverarbeitung. Workshop: Numerical, Statistical and Discrete Methods in Image Processing, München, Germany (2004)

Pfeuffer, J.: High-field MRS. 21st Annual Scientific Meeting of the ESMRMB 2004, Copenhagen, Denmark (2004)