Biblio

Export 218 results:
[ Author(Desc)] Title Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
S
Sinz, F., J Candela Q., Bakır G. H., Rasmussen C. E., & Franz M. O. (2004).  Learning depth from stereo. (Rasmussen, C. E., Bülthoff H. H., Giese M. A., & Schölkopf B., Ed.).{Pattern Recognition, Proc.\ 26th DAGM Symposium}. 3175, 245 – 252.
Stadelmann, T., Tolkachev V., Sick B., & Dürr O. (2019).  Beyond ImageNet: Deep Learning in Industrial Practice. Applied Data Science. 205-232.
Stadelmann, T., Glinski-Haefeli S., Gerber P., & Dürr O. (2018).  Capturing Suprasegmental Features of a Voice with RNNs for Improved Speaker Clustering. IAPR Workshop on Artificial Neural Networks in Pattern Recognition. 333–345.PDF icon ANNPR_2018b.pdf (692.47 KB)
Stadelmann, T., Stockinger K., Braschler M., Cieliebak M., Baudinot G., Dürr O., et al. (2013).  Applied Data Science in Europe: Challenges for Academia in Keeping Up with a Highly Demanded Topic. European Computer Science Summit. Amsterdam, Netherlands.
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.
T
Thießen, L., Laube P., Franz M. O., & Umlauf G. (2014).  Merging multiple 3d face reconstructions. (Benyoucef, D., & Reich C., Ed.).Symposium on Information and Communication Systems. 7-12.PDF icon Merging3DFaceReconst.pdf (12.91 MB)
U
Umlauf, G. (2000).  Analyzing the characteristic map of triangular subdivision schemes. Constructive Approximation. 16, 145-155.PDF icon LoopCharMap.pdf (431.79 KB)
Umlauf, G. (2004).  A technique for verifying the smoothness of subdivision schemes. (Lucian, M.L., & Neamtu M., Ed.).Geometric Modeling and Computing: Seattle 2003. PDF icon subSchemes.pdf (110.4 KB)
Umlauf, G. (2005).  Analysis and tuning of subdivision schemes. (Jüttler, B., Ed.).Proceedings of Spring Conference on Computer Graphics SCCG 2005. PDF icon ATSubSchemes.pdf (765.94 KB)
Y
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)
Yovel, Y., Stilz P., Franz M. O., & Schnitzler H.-U. (2008).  The statistics of plant echoes as perceived by echolocating bats. {ASA Meeting Paris}.
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.
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)
Yovel, Y., Stilz P., Franz M. O., & Schnitzler H.-U. (2008).  The statistics of plant echoes as perceived by echolocating bats. {Proc. of the Computational and Systems Neuroscience Meeting 2008 (COSYNE 2008)}.
Yovel, Y., Franz M. O., Stilz P., & Schnitzler H.-U. (2008).  The statistics of plant echoes as perceived by echolocating bats. {Acoustics 08, Paris, SBN 978-2-9521105-4- 9 - EAN 9782952110549}. 123, DVD Proc..
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)
Yovel, Y., Stilz P., Melcón M. L., Franz M. O., & Schnitzler H.-U. (2008).  Bats can use echolocation calls for individual recognition. {Proc. Sensory coding and the natural environment 2008}.
Z
Zirkler, R., Eckhard T., & Jödicke B. (2018).  A concept for a multi-spectral snap-shot camera based on single-chip RGB sensor. Forum Bildverarbeitung. Poster.

Pages