Biblio
]
(2010). 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)
Schwamberger et al._2010_The Influence of the Image Basis on Modeling and Steganalysis Performance.pdf (392.83 KB)
(2010). Simple algorithmic modifications for improving blind steganalysis performance.
{Proc. of the 2010 Workshop on Multimedia and Security (MM&Sec 2010)}. Schwamberger, Franz_2010_Simple Algorithmic Modifications for Improving Blind Steganalysis Performance.pdf (813.87 KB)
Schwamberger, Franz_2010_Simple Algorithmic Modifications for Improving Blind Steganalysis Performance.pdf (813.87 KB)
(2010). Single band statistics and steganalysis performance.
{Proc. 6th Intl. Conf. on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP-2010)}. 188–191. Le, Franz_2010_Single Band Statistics and Steganalysis Performance.pdf (206.46 KB)
Le, Franz_2010_Single Band Statistics and Steganalysis Performance.pdf (206.46 KB)
(2009). 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)
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)
Barbero et al._2009_Implicit Wiener series analysis of epileptic seizure recordings.pdf (327.26 KB)
(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. 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 et al._2009_The voice of bats how greater mouse-eared bats recognize individuals based on their echolocation calls.pdf (458.53 KB)
(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. Yovel et al._2009_What a plant sounds like the statistics of vegetation echoes as received by echolocating bats.pdf (855.02 KB)
Yovel et al._2009_What a plant sounds like the statistics of vegetation echoes as received by echolocating bats.pdf (855.02 KB)
(2008). Bats can use echolocation calls for individual recognition.
{Proc. Sensory coding and the natural environment 2008}.
(2008). Plant classification from bat-like echolocation signals.
PLoS Comput.\ Biol.. 4, e1000032. Yovel et al._2008_Plant classification from bat-like echolocation signals.pdf (772.54 KB)
Yovel et al._2008_Plant classification from bat-like echolocation signals.pdf (772.54 KB)
(2008). A robot system for biomimetic navigation - from snapshots to metric embeddings of view graphs.
(Yeap, A. W., & Jefferies M., Ed.).{Robotics and Cognitive Approaches to Spatial Mapping}. 38, 297–314.
(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..
(2008). The statistics of plant echoes as perceived by echolocating bats.
{ASA Meeting Paris}.
(2008). The statistics of plant echoes as perceived by echolocating bats.
{Proc. of the Computational and Systems Neuroscience Meeting 2008 (COSYNE 2008)}.
(2007). Center-surround filters emerge from optimizing predictivity in a free-viewing task.
{Proc. of the Computational and Systems Neuroscience Meeting 2007 (COSYNE 2007)}.
(2007). 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)
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). Implicit Wiener series for estimating nonlinear receptive fields.
{Proc. 31st Göttingen Neurobiolgy Conf.}. 1199.
(2007). Learning the influence of spatio-temporal variations in local image structure on visual saliency.
(Bülthoff, H. H., Chatziastros A., Mallot H. A., & Ulrich R., Ed.).{Proc. 10. Tübinger Wahr\-neh\-mungs\-konferenz (TWK 2007)}. 63.
(2007). Nonlinear receptive field analysis: making kernel methods interpretable.
{Proc. of the Computational and Systems Neuroscience Meeting 2007 (COSYNE 2007)}.
(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)
Kienzle et al._2007_A nonparametric approach to bottom-up visual saliency.pdf (879.52 KB)
(2006). 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)
Kienzle et al._2006_Learning an Interest Operator from Human Eye Movements.pdf (1.41 MB)
(2006). Learning eye movements.
{Proc. Sensory Coding and the Natural Environment 2006}.
(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)
(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)
Franz, Schölkopf_2006_A Unifying View of Wiener and Volterra Theory and Polynomial Kernel Regression.pdf (165.97 KB)
(2005). Face detection – efficient and rank deficient.
(Saul, L. K., Weiss Y., & Bottou L., Ed.).{Advances in Neural Information Processing Systems 17}. 673–680. Kienzle et al._2005_Face Detection --- Efficient and Rank Deficient.pdf (145.73 KB)
Kienzle et al._2005_Face Detection --- Efficient and Rank Deficient.pdf (145.73 KB)