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Combining Visual Attention, Object Recognition and Associative Information Processing in a NeuroBotic System.

R. Fay, U. Kaufmann, A. Knoblauch, H. Markert, and G. Palm. Biomimetic Neural Learning for Intelligent Robots, volume 3575 of Lecture Notes in Computer Science, page 118-143. Springer, (2005)

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Prof. Dr. Günther Bien University of Stuttgart

Maiken Günther University of Stuttgart

Dr. Michael Günther University of Stuttgart

Ph. D. Thomas Günther University of Stuttgart

Univ. -Prof. Dr. Ulrich Palm University of Stuttgart

Other publications of authors with the same name

Incremental learning in hierarchical neural networks for object recognition.R. Fay, F. Schwenker, and G. Palm. ICINCO, page 298-303. INSTICC Press, (2005)Package Boosting for Readaption of Cascaded Classifiers.M. Szczot, J. Forster, O. Löhlein, and G. Palm. ICPR, page 552-555. IEEE Computer Society, (2010)Multi-modal Fusion based on classifiers using reject options and Markov Fusion Networks.M. Glodek, M. Schels, G. Palm, and F. Schwenker. ICPR, page 1084-1087. IEEE Computer Society, (2012)Detecting zebra crossings utilizing AdaBoost.L. Lausser, F. Schwenker, and G. Palm. ESANN, page 535-540. (2008)Visual Top-Down Attention Framework for Robots in Dynamic Environments.U. Kaufmann, and G. Palm. EUROS, volume 44 of Springer Tracts in Advanced Robotics, page 323-332. Springer, (2008)On the use of features from prediction residual signals in speaker identification.J. He, L. Liu, and G. Palm. EUROSPEECH, ISCA, (1995)A generic framework for the inference of user states in human computer interaction.S. Scherer, M. Glodek, G. Layher, M. Schels, M. Schmidt, T. Brosch, S. Tschechne, F. Schwenker, H. Neumann, and G. Palm. J. Multimodal User Interfaces, 6 (3-4): 117-141 (2012)Learning convolutional neural networks from few samples.R. Wagner, M. Thom, R. Schweiger, G. Palm, and A. Rothermel. IJCNN, page 1-7. IEEE, (2013)Supervised Matrix Factorization with sparseness constraints and fast inference.M. Thom, R. Schweiger, and G. Palm. IJCNN, page 973-979. IEEE, (2011)Constant Time EXPected Similarity Estimation for Large-Scale Anomaly Detection.M. Schneider, W. Ertel, and G. Palm. ECAI, volume 285 of Frontiers in Artificial Intelligence and Applications, page 12-20. IOS Press, (2016)