Biblio

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Journal Article
Franz, M. O., & Krapp H. G. (2000).  Wide-field, motion-sensitive neurons and matched filters for optic flow fields. Biol. Cybern.. 83, 185 – 197.PDF icon Franz, Krapp_2000_Wide-field, motion-sensitive neurons and matched filters for optic flow fields.pdf (261.7 KB)
Franz, M. O., Schölkopf B., Mallot H. A., & Bülthoff H. H. (1998).  Where did I take that snapshot? Scene-based homing by image matching. Biol. Cybern.. 79, 191 – 202.PDF icon Franz et al._1998_Where did I take that snapshot Scene-based homing by image matching.pdf (488.99 KB)
Yovel, Y., Stilz P., Franz M. O., Boonman A., & Schnitzler H.-U. (2009).  What a plant sounds like: the statistics of vegetation echoes as received by echolocating bats. PLoS Comput. Biol.. 5, e1000429. doi:10.1371/journal.pcbi.1000429.PDF icon Yovel et al._2009_What a plant sounds like the statistics of vegetation echoes as received by echolocating bats.pdf (855.02 KB)
Grunwald, M., & Franz M. O. (2016).  Wahrnehmungsorientierte optische Inspektion von texturierten Oberflächen. INFORMATIK 2016, Lecture Notes in Informatics (LNI), Gesellschaft für Informatik. 259, 1963–1968.
Franz, M. O. (2011).  Volterra and Wiener series. Scholarpedia. 6, 11307.
Yovel, Y., Melcón M. L., Franz M. O., Denzinger A., & Schnitzler H.-U. (2009).  The voice of bats: how greater mouse-eared bats recognize individuals based on their echolocation calls. PLoS Comput. Biol.. 5, e1000400:10.1371/journal.pcbi.1000400.PDF icon Yovel et al._2009_The voice of bats how greater mouse-eared bats recognize individuals based on their echolocation calls.pdf (458.53 KB)
Franz, M. O., & Schölkopf B. (2006).  A unifying view of Wiener and Volterra theory and polynomial kernel regression. Neural Computation. 18, 3097 – 3118.PDF icon Franz, Schölkopf_2006_A Unifying View of Wiener and Volterra Theory and Polynomial Kernel Regression.pdf (165.97 KB)
Franz, M. O., Yovel Y., Melcón M. L., Stilz P., & Schnitzler H.-U. (2012).  Systematische Merkmalsbewertung in komplexen Ultraschallsignalen mit Lernmaschinen. Informatik-Spektrum. 35, 348 – 353.PDF icon Franz et al._2011_Systematische Merkmalsbewertung in komplexen Ultraschallsignalen mit Lernmaschinen.pdf (899.32 KB)
Franz, M. O., & Zhang M. (1995).  Supression and creation of chaos in a periodically forced Lorenz system. Phys. Rev. E. 52, 3558–3565.PDF icon Franz, Zhang_1995_Supression and creation of chaos in a periodically forced Lorenz system.pdf (1.45 MB)
Aguilera, D. N., Ahlers H., Battelier B., Bawamia A., Bertoldi A., Bondarescu R., et al. (2014).  STE-QUEST — Test of the universality of free fall using cold atom interferometry. Classical and Quantum Gravity. 31, 115010.PDF icon Aguilera, Ahlers_2014_STE-QUEST—test of the universality of free fall using cold atom interferometry.pdf (778.56 KB)
Huber, S., Franz M. O., & Bülthoff H. H. (1999).  On robots and flies: Modeling the visual orientation behavior of flies. Robotics and Autonomous Systems. 29, 227–242.PDF icon Huber, Franz, Bülthoff_1999_On robots and flies Modeling the visual orientation behavior of flies.pdf (473.13 KB)
Yovel, Y., Franz M. O., Stilz P., & Schnitzler H.-U. (2008).  Plant classification from bat-like echolocation signals. PLoS Comput.\ Biol.. 4, e1000032.PDF icon Yovel et al._2008_Plant classification from bat-like echolocation signals.pdf (772.54 KB)
Grunwald, M., Müller J., Schall M., Laube P., Umlauf G., & Franz M. O. (2015).  Pixel-wise Hybrid Image Registration on Wood Decors. BW-CAR| SINCOM. 24.PDF icon Grunwald_2015_Pixel-wiseHybridImageRegistration.pdf (2.42 MB)
Franz, M. O., Schölkopf B., Mallot H. A., & Bülthoff H. H. (1998).  Learning view graphs for robot navigation. Autonomous Robots. 5, 111 – 125.PDF icon Franz et al._1998_Learning View Graphs for Robot Navigation.pdf (1.26 MB)
Kim, K. I., Franz M. O., & Schölkopf B. (2005).  Iterative kernel principal component analysis for image modeling. IEEE Trans. PAMI. 27, 1351 – 1366.PDF icon Kim, Franz, Schölkopf_2005_Iterative Kernel Principal Component Analysis for Image Modeling.pdf (1.98 MB)
Franz, M. O., Chahl J. S., & Krapp H. G. (2004).  Insect-inspired estimation of egomotion.. Neural Computation. 16, 2245–60.
Yovel, Y., Franz M. O., Stilz P., & Schnitzler H.-U. (2011).  Echo-based object recognition in echolocating bats. J. Comp. Phyiol. A. 197, 475–490.
Schuldt, T., Schubert C., Krutzik M., Bote L., Gaaloul N., Hartwig J., et al. (2015).  Design of a dual species atom interferometer for space. Experimental Astronomy. 39, 167-206.PDF icon Schuldt et al._2015_Design of a dual species atom interferometer for space.pdf (2.98 MB)
Kienzle, W., Franz M. O., & Schölkopf B. (2009).  Center-surround patterns emerge as optimal predictors for human saccade targets. J. of Vision. 9, 1–15.PDF icon Kienzle, Franz, Schölkopf_2009_Center-surround patterns emerge as optimal predictors for human saccade targets.pdf (900.5 KB)
Franz, M. O., & Mallot H. A. (2000).  Biomimetic robot navigation. Robotics and Autonomous Systems. 30, 133 – 153.PDF icon Franz, Mallot_2000_Biomimetic robot navigation.pdf (171.77 KB)
Conference Paper
Franz, M. O., Hengstenberg R., & Krapp H. G. (1998).  VS-neurons as matched filters for self-motion-induced optic flow fields. (Elsner, N., & Wehner R., Ed.).{New Neuroethology on the Move}. II, 419.
Schall, M., Sacha D., Stein M., Franz M. O., & Keim D. A. (2018).  Visualization-Assisted Development of Deep Learning Models in Offline Handwriting Recognition. Visualization in Data Science (VDS at IEEE VIS) 2018. PDF icon Visualization-Assisted Development of Deep Learning Models in Offline Handwriting Recognition.pdf (1.03 MB)
Mallot, H. A., Franz M. O., Schölkopf B., & Bülthoff H. H. (1997).  The view-graph approach to visual navigation and spatial memory. (Gerstner, W., Germond A., Hasler M., & Nicoud J.-D., Ed.).{Proc. of the 7th Intl. Conf. on Artificial Neural Networks (ICANN 97)}. 1327, 751 – 756.PDF icon Mallot et al._1997_The view-graph approach to visual navigation and spatial memory.pdf (212.16 KB)
Caputo, M., Denker K., Franz M. O., Laube P., & Umlauf G. (2015).  Support Vector Machines for Classification of Geometric Primitives in Point Clouds. (Boissonnat, J-D., Cohen A., Gibaru O., Gout C., Lyche T., Mazure M-L., et al., Ed.).Curves and Surfaces, 8th International Conference, Paris 2014. 80-95.PDF icon Caputo et al_2015_Support vector machines for classification of geometric primitives in point clouds.pdf (2.64 MB)
Staedtgen, M., Hahn S., Franz M. O., & Spitzer M. (2000).  Subliminale Darbietung verkehrsrelevanter Information in Kraftfahrzeugen. (Bülthoff, H. H., Gegenfurtner K. R., & Mallot H. A., Ed.).{Proc. 3. Tübinger Wahrnehmungskonferenz (TWK 20009)}. 98.

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