Andreas Müller and Sven Behnke:
Multi-Instance
Methods for Partially Supervised Image Segmentation
In Proceedings of First IAPR Workshop on Partially Supervised Learning
(PSL), Ulm,
September 2011.
Hannes Schulz and Sven Behnke:
Object-Class
Segmentation using Deep
Convolutional Neural Networks
DAGM Workshop on New Challenges in Neural Computation (NC2),
Frankfurt,
August 2011.
Hannes Schulz, Andreas Müller, and Sven Behnke:
Exploiting
Local Structure in Boltzmann Machines
Neurocomputing 74(9):1411-1417, Elsevier, April 2011.
Hannes Schulz, Andreas Müller, and Sven Behnke:
Investigating
Convergence of Restricted Boltzmann Machine Learning
In Proceedings of NIPS Workshop on Deep
Learning and
Unsupervised Feature Learning, Whistler, Canada, December 2010.
Dominik Scherer, Andreas Müller, and Sven Behnke:
Evaluation of Pooling
Operations in Convolutional Architectures for Object Recognition
In Proceedings of 20th International Conference on Artificial Neural
Networks (ICANN), Thessaloniki, Greece, September 2010.
Dominik Scherer, Hannes Schulz, and Sven Behnke:
Accelerating Large-Scale
Convolutional Neural Networks with Parallel Graphics Multiprocessors
In Proceedings of 20th International Conference on Artificial Neural
Networks
(ICANN), Thessaloniki, Greece, September 2010.
Andreas Müller, Hannes Schulz, and Sven Behnke:
Topological Features in
Locally Connected RBMs
In Proceedings of International Joint Conference on Neural Networks
(IJCNN), July 2010.
Hannes Schulz, Andreas Müller, and Sven Behnke:
Exploiting local
structure in stacked Boltzmann machines
In Proceedings of European Symposium on Artificial Neural Networks,
Computational Intelligence and Machine Learning (ESANN), Bruges,
Belgium, April 2010.
Dominik Scherer and Sven Behnke:
Accelerating Large-scale
Convolutional Neural Networks with Parallel Graphics Multiprocessors
In Proceeding of NIPS Workshop on Large-Scale Machine
Learning: Parallelism and Massive Datasets, Whistler, Canada, December
2009.
Rafael Uetz and Sven Behnke:
Locally-Connected
Hierarchical Neural Networks for GPU-accelerated Object Recognition
In Proceeding of NIPS Workshop on Large-Scale Machine
Learning: Parallelism and Massive Datasets, Whistler, Canada, December
2009.
Rafael Uetz and Sven Behnke:
Large-scale Object
Recognition with
CUDA-accelerated Hierarchical Neural Networks
In Proceedings of the 1st IEEE International Conference on
Intelligent Computing and Intelligent Systems
(ICIS), Shanghai, China, November 2009.
Universität Bonn, Institute for Computer Science, Departments: I, II, III, IV, V, VI