Biblio
Aktives Erwerben eines Ansichtsgraphen zur diskreten Repräsentation offener Umwelten.
(Thielscher, M., & Bornscheuer S.-E., Ed.).Fortschritte der {Künstlichen Intelligenz}. 92.
Franz et al._1996_Aktives Erwerben eines Ansichtsgraphen zur diskreten Repräsentation offener Umwelten.pdf (63.1 KB)
(1996). 
Homing by parameterized scene matching.
{Proc. 4th Europ. Conf. on Artificial Life}. 236 – 245.
(1997). Learning view graphs for robot navigation.
(Johnson, W. L., Ed.).{Proc.\ 1.İntl.\ Conf.\ on Autonomous Agents}. 138 – 147.
Franz et al._1998_Learning View Graphs for Robot Navigation.pdf (1.26 MB)
(1997). 
Learning view graphs for robot navigation.
Autonomous Robots. 5, 111 – 125.
Franz et al._1998_Learning View Graphs for Robot Navigation.pdf (1.26 MB)
(1998). 
Navigation mit Schnappschüssen..
(Levi, P., Ahlers R.-J., May F., & Schanz M., Ed.).{Mustererkennung 1998. Proc. of the 20th DAGM-Symposium}. 412-428.
Franz et al._1998_Navigation mit Schnappschüssen.pdf (300.5 KB)
(1998). 
Where did I take that snapshot? Scene-based homing by image matching.
Biol. Cybern.. 79, 191 – 202.
Franz et al._1998_Where did I take that snapshot Scene-based homing by image matching.pdf (488.99 KB)
(1998). 
Kernel Hebbian algorithm for single-frame super-resolution.
{Statistical Learning in Computer Vision (SLCV 2004), ECCV 2004 Workshop, Prague}. 135–149.
Kim, Franz, Schölkopf_2004_Kernel Hebbian algorithm for single-frame super-resolution.pdf (2.22 MB)
(2004). 
Semi-supervised kernel regression using whitened function classes.
(Rasmussen, C. E., Bülthoff H. H., Giese M. A., & Schölkopf B., Ed.).{Pattern Recognition, Proc.\ 26th DAGM Symposium}. 3175, 18 – 26.
Franz et al._2004_Semi-supervised kernel regression using whitened function classes.pdf (198.7 KB)
(2004). 
Implicit Volterra and Wiener series for higher-order image analysis.
{Advances in Data Analysis 30th Ann. Conf. German Classification Society}. 60.
(2006). Learning an interest operator from human eye movements.
(Schmid, C., Soatto S., & Tomasi C., Ed.).{Beyond Patches Workshop, Intl. Conf. on Computer Vision and Pattern Recognition}. 1–8.
Kienzle et al._2006_Learning an Interest Operator from Human Eye Movements.pdf (1.41 MB)
(2006). 
A unifying view of Wiener and Volterra theory and polynomial kernel regression.
Neural Computation. 18, 3097 – 3118.
Franz, Schölkopf_2006_A Unifying View of Wiener and Volterra Theory and Polynomial Kernel Regression.pdf (165.97 KB)
(2006). 
How to find interesting locations in video: a spatiotemporal interest point detector learned from human eye movements.
{Lecture Notes in Computer Science: Pattern Recognition (DAGM 2007)}. 405–417.
Kienzle et al._2007_How to find interesting locations in video a spatiotemporal interest point detector learned from human eye movements.pdf (377.26 KB)
(2007). 
A nonparametric approach to bottom-up visual saliency.
(Schölkopf, B., Platt J., & Hoffmann T., Ed.).{Advances in Neural Information Processing Systems 19}. 19, 689–696.
Kienzle et al._2007_A nonparametric approach to bottom-up visual saliency.pdf (879.52 KB)
(2007). 
Center-surround patterns emerge as optimal predictors for human saccade targets.
J. of Vision. 9, 1–15.
Kienzle, Franz, Schölkopf_2009_Center-surround patterns emerge as optimal predictors for human saccade targets.pdf (900.5 KB)
(2009). 
Implicit Wiener series analysis of epileptic seizure recordings..
{Ann. Intl. Conf. of the IEEE Engineering in Medicine and Biology Society}. 5304–5307.
Barbero et al._2009_Implicit Wiener series analysis of epileptic seizure recordings.pdf (327.26 KB)
(2009). 
The influence of the image basis on modeling and steganalysis performance.
(Böhme, R., Fong P.W.L., & Safavi-Naini R., Ed.).{Proc. 12th Intl. Conf. on Information Hiding (IH-2010)}. 133–144.
Schwamberger et al._2010_The Influence of the Image Basis on Modeling and Steganalysis Performance.pdf (392.83 KB)
(2010). 