Biblio
]
(2007). Implicit Wiener series for estimating nonlinear receptive fields.
{Proc. 31st Göttingen Neurobiolgy Conf.}. 1199.
(2016). Improving gradient-based LSTM training for offline handwriting recognition by careful selection of the optimization method.
Conference: BW-CAR Symposium on Information and Communication Systems (SInCom). 
2016-12 Improving gradient-based LSTM training for offline handwriting recognition by careful selection of the optimization method.pdf (803.54 KB)
2016-12 Improving gradient-based LSTM training for offline handwriting recognition by careful selection of the optimization method.pdf (803.54 KB)
(2016). Increasing robustness of handwriting recognition using character n-gram decoding on large lexica.
12th IAPR International Workshop on Document Analysis Systems. Schall et al_2016_Increasing robustness of handwriting recognition using character n-gram decoding on large lexica.pdf (440.82 KB)
Schall et al_2016_Increasing robustness of handwriting recognition using character n-gram decoding on large lexica.pdf (440.82 KB)
(2010). The influence of the image basis on modeling and steganalysis performance.
{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)
Schwamberger et al._2010_The Influence of the Image Basis on Modeling and Steganalysis Performance.pdf (392.83 KB)
(2004). Insect-inspired estimation of egomotion..
Neural Computation. 16, 2245–60.
(2002). Insect-inspired estimation of self-motion.
{Proc. 2nd Workshop on Biologically Motivated Computer Vision (BMCV 2002)}. 2525, 171-180. Franz, Chahl_2002_Insect-inspired estimation of self-motion.pdf (274.5 KB)
Franz, Chahl_2002_Insect-inspired estimation of self-motion.pdf (274.5 KB)
(2005). Iterative kernel principal component analysis for image modeling.
IEEE Trans. PAMI. 27, 1351 – 1366. Kim, Franz, Schölkopf_2005_Iterative Kernel Principal Component Analysis for Image Modeling.pdf (1.98 MB)
Kim, Franz, Schölkopf_2005_Iterative Kernel Principal Component Analysis for Image Modeling.pdf (1.98 MB)
(2004). 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)
Kim, Franz, Schölkopf_2004_Kernel Hebbian algorithm for single-frame super-resolution.pdf (2.22 MB)
(2005). Learning an interest operator from eye movements.
{Proc. Workshop on Bioinspired Information Processing 2005}. Kienzle et al._2006_Learning an Interest Operator from Human Eye Movements.pdf (1.41 MB)
Kienzle et al._2006_Learning an Interest Operator from Human Eye Movements.pdf (1.41 MB)
(2006). Learning an interest operator from human eye movements.
{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)
Kienzle et al._2006_Learning an Interest Operator from Human Eye Movements.pdf (1.41 MB)
(2004). Learning depth.
{Proc. 7. Tübinger Wahrnehmungskonferenz (TWK 2004)}. 68. Sinz et al Learning depth 2004.pdf (197 KB)
Sinz et al Learning depth 2004.pdf (197 KB)
(2004). Learning depth from stereo.
{Pattern Recognition, Proc.\ 26th DAGM Symposium}. 3175, 245 – 252.
(2006). Learning eye movements.
{Proc. Sensory Coding and the Natural Environment 2006}.
(2014). Learning geometric primitives in point clouds.
Symposium on Geometry Processing, Cardiff 2014. Caputo et al_2014_Learning geometric primitives in point clouds.pdf (630.12 KB)
Caputo et al_2014_Learning geometric primitives in point clouds.pdf (630.12 KB)
(2006). Learning high-order MRF priors of color images.
{Proc. of the 23rd Intl. Conf. on Machine Learning (ICML 2006)}. 617–624. McAuley et al._2006_Learning high-order MRF priors of color images.pdf (981.67 KB)
McAuley et al._2006_Learning high-order MRF priors of color images.pdf (981.67 KB)
(2007). Learning the influence of spatio-temporal variations in local image structure on visual saliency.
{Proc. 10. Tübinger Wahr\-neh\-mungs\-konferenz (TWK 2007)}. 63.
(1997). Learning view graphs for robot navigation.
{Proc.\ 1.İntl.\ Conf.\ on Autonomous Agents}. 138 – 147. Franz et al._1998_Learning View Graphs for Robot Navigation.pdf (1.26 MB)
Franz et al._1998_Learning View Graphs for Robot Navigation.pdf (1.26 MB)
(1998). 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)
Franz et al._1998_Learning View Graphs for Robot Navigation.pdf (1.26 MB)
(2003). Linear combinations of optic flow vectors for estimating self-motion-a real-world test of a neural model.
{Advances in Neural Information Processing Systems 15}. 1343–1350.
(2018). LSTM Networks for Edit Distance Calculation with Exchangeable Dictionaries.
13th IAPR International Workshop on Document Analysis Systems. 2018-04 LSTM Networks for Edit Distance Calculation with Exchangeable Dictionaries.pdf (145.78 KB)
2018-04 LSTM Networks for Edit Distance Calculation with Exchangeable Dictionaries.pdf (145.78 KB)
(2014). Merging multiple 3d face reconstructions.
(Benyoucef, D., & Reich C., Ed.).Symposium on Information and Communication Systems. 7-12. Merging3DFaceReconst.pdf (12.91 MB)
Merging3DFaceReconst.pdf (12.91 MB)
(1998). Minimalistic visual navigation.
Fortschr.-Ber. VDI Reihe 8.
(2018). Multi-Dimensional Connectionist Classification: Reading Text in One Step.
13th IAPR International Workshop on Document Analysis Systems. 2018-04 Multi-Dimensional Connectionist Classification Reading Text in One Step.pdf (485.57 KB)
2018-04 Multi-Dimensional Connectionist Classification Reading Text in One Step.pdf (485.57 KB)
(2004). Multivariate Regression via Stiefel Manifold Constraints.
{Pattern Recognition, Proc. of the 26th DAGM Symposium (DAGM 2004)}. 262-269.
(1998). Navigation in real and virtual environments: judging orientation and distance in a large-scale landscape.
{Virtual Environment 98: Proc. of the Eurographics Workshop 1998}. 124 – 133.