Ball Localization for Robocup Soccer using Convolutional Neural Networks Daniel Speck, Pablo Barros, Cornelius Weber, Stefan Wermter University of Hamburg, Department of Informatics, Knowledge Technology, WTM Hamburg Bit

Source URL: robocup.informatik.uni-hamburg.de

Cardiovascular Edge Detection using Neural Networks Gabriel Maher Institute for Computational and Mathematical Engineering, Stanford University Via Ortega 475, Palo Alto, California

Source URL: cs231n.stanford.edu

To appear in Proceedings of the 2003 IEEE Congress on Evolutionary Computation (CECEvolving Adaptive Neural Networks with and without Adaptive Synapses Kenneth O. Stanley Dept. of Computer Sciences The University

Source URL: www.cse.unr.edu

Wavelike Design of Social Agents Simulated as System of Interacting Net of Neural Networks Darius Plikynas Informatics department, Vilnius Management Academy,

Source URL: necsi.edu

• Simulation
• Models of computation
• Systems theory
• Scientific modeling
• Complex systems theory
• Agent-based model
• Multi-agent system
• Social simulation
• Artificial neural network
• Computational model
• Agent
• Self-organization

On the difficulty of training recurrent neural networks Razvan Pascanu Universit´e de Montr´eal, 2920, chemin de la Tour, Montr´eal, Qu´ebec, Canada, H3T 1J8 Tomas Mikolov

Source URL: www.jmlr.org

Facial affect detection using convolutional neural networks Sherrie Wang Institute of Computational and Mathematical Engineering Stanford University

Source URL: cs231n.stanford.edu

Quantifying Translation-Invariance in Convolutional Neural Networks Eric Kauderer-Abrams Stanford University 450 Serra Mall, Stanford, CA 94305

Source URL: cs231n.stanford.edu

Recognition of Ongoing Complex Activities by Sequence Prediction over a Hierarchical Label Space Wenbin Li Mario Fritz Max Planck Institute for Informatics wenbinli,

Source URL: scalable.mpi-inf.mpg.de

• Computational neuroscience
• Artificial neural networks
• Computational statistics
• Computer vision
• Deep learning
• Recurrent neural network
• Convolutional neural network
• Conference on Computer Vision and Pattern Recognition
• Activity recognition

Artificial Intelligence in Medicine, 183—194 Prediction of visual perceptions with artificial neural networks in a visual prosthesis for the blind ´dric Archambeaua,*, Jean Delbekeb, Claude Veraartb, Ce

Source URL: www0.cs.ucl.ac.uk

Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis Quoc V. Le, Will Y. Zou, Serena Y. Yeung, Andrew Y. Ng Computer Science Department and Department of Elec

Source URL: cs.stanford.edu

• Artificial neural networks
• Computational neuroscience
• Artificial intelligence
• Machine learning
• Applied mathematics
• Cybernetics
• Computer vision
• Convolutional neural network
• Deep learning
• Feature detection
• Feature learning
• Supervised learning