Biblio
Export 68 results:
Author Title [ Type] Year Filters: First Letter Of Last Name is G [Clear All Filters]
Biologically-inspired vs. CNN texture representations in novelty detection.
Applications of Machine Learning 2021. 118430I. Spie2021.pdf (5.33 MB)
(2021). Capturing Suprasegmental Features of a Voice with RNNs for Improved Speaker Clustering.
IAPR Workshop on Artificial Neural Networks in Pattern Recognition. 333–345. ANNPR_2018b.pdf (692.47 KB)
(2018). Capturing Suprasegmental Features of a Voice with RNNs for Improved Speaker Clustering.
IAPR Workshop on Artificial Neural Networks in Pattern Recognition. 333–345. ANNPR_2018b.pdf (692.47 KB)
(2018). A compact high-performance frequency reference for space applications.
{29th Intl. Symposium on Space Technology and Science (ISTS 2013), Nagoya (Japan)}. Schuldt et al._2013_A Compact High-Performance Frequency Reference for Space Applications.pdf (369.85 KB)
(2013). Constraints measures and reproduction of style in robot imitation learning.
(Bülthoff, H. H., Gegenfurtner K. R., Mallot H. A., Ulrich R., & Wichmann F. A., Ed.).{Proc. 6. Tübinger Wahrnehmungskonferenz (TWK 2003)}. 70.
(2003). Constraints measures and reproduction of style in robot imitation learning.
(Bülthoff, H. H., Gegenfurtner K. R., Mallot H. A., Ulrich R., & Wichmann F. A., Ed.).{Proc. 6. Tübinger Wahrnehmungskonferenz (TWK 2003)}. 70.
(2003). Controlling a subdivision tuning method.
(Cohen, A., Merrien J.-L., & Schumaker L.L., Ed.).Curve and Surface Fitting. SubTuning.pdf (553.79 KB)
(2006). Efficient approximations for support vector machines for object detection.
(Rasmussen, C. E., Bülthoff H. H., & Giese M. A., Ed.).{Pattern Recognition, Proc. of the 26th DAGM Symposium}. 54–61. Kienzle, Bakır, Franz_2004_Efficient approximations for support vector machines for object detection.pdf (165.13 KB)
(2004). Extended Target Tracking With a Lidar Sensor Using Random Matrices and a Gaussian Processes Regression Model.
International Conference on Information Fusion (FUSION). 1-8.
(2023). Extended Target Tracking With a Lidar Sensor Using Random Matrices and a Gaussian Processes Regression Model.
International Conference on Information Fusion (FUSION). 1-8.
(2023). Hierarchical spatio-temporal morphable models for representation of complex movements for imitation learning.
(Nunes, U., de Almeida A., Bejczy A., Kosuge K., & Machado J., Ed.).{Proc. of the 11th International Conference on Advanced Robotics}. 2, 453–458. Ilg et al._2003_Hierarchical spatio-temporal morphable models for representation of complex movements for imitation learning.pdf (716.98 KB)
(2003). Image novelty detection based on mean-shift and typical set size.
21th International Conference on Image Analysis and Processing, ICIAP. ICIAP-mean-shift-novelty-detection-preprint.pdf (2.96 MB)
(2022). 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). Incremental one-class learning using regularized null-space training for industrial defect detection.
16th International Conference on Machine Vision (ICMV).
(2023). 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.
(2004). 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). Loop subdivision with curvature control.
(Polthier, K., & Sheffer A., Ed.).Eurographics Symposium on Geometry Processing. LoopSubCurv.pdf (6.03 MB)
(2006). Multivariate Regression via Stiefel Manifold Constraints.
(Rasmussen, C. E., Bülthoff H. H., Giese M. A., & Schölkopf B., Ed.).{Pattern Recognition, Proc. of the 26th DAGM Symposium (DAGM 2004)}. 262-269.
(2004). Multivariate Regression via Stiefel Manifold Constraints.
(Rasmussen, C. E., Bülthoff H. H., Giese M. A., & Schölkopf B., Ed.).{Pattern Recognition, Proc. of the 26th DAGM Symposium (DAGM 2004)}. 262-269.
(2004). Natural neighbor concepts in scattered data interpolation and discrete function approximation.
(Hagen, H., Hering-Bertram M., & Garth C., Ed.).GI Lecture Notes in Informatics, Visualization of Large and Unstructured Data Sets. NatNeighborConcepts.pdf (1.21 MB)
(2007). Navigation in real and virtual environments: judging orientation and distance in a large-scale landscape.
(Goebel, M., Lang U., Landauer J., & Walper M., Ed.).{Virtual Environment 98: Proc. of the Eurographics Workshop 1998}. 124 – 133.
(1998). On normals and control nets.
(Martin, R., Bez H., & M. 233-239 S. pages =, Ed.).Mathematics of Surfaces XI. NormalsControlNets.pdf (117.42 KB)
(2005). On-line CAD Reconstruction with Accumulated Means of Local Geometric Properties.
(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. 181-201. OnlineCADReconst.pdf (3.18 MB)
(2015). On-line CAD Reconstruction with Accumulated Means of Local Geometric Properties.
(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. 181-201. OnlineCADReconst.pdf (3.18 MB)
(2015). Online triangulation of laser-scan data.
(Garimella, R., Ed.).Proceedings of the 17th International Meshing Roundtable 2008. OnlineTriang.pdf (8.39 MB)
(2008).